Pandas Profiling Report

Dataset statistics

Number of variables	48
Number of observations	2175
Missing cells	89
Missing cells (%)	0.1%
Duplicate rows	2
Duplicate rows (%)	0.1%
Total size in memory	7.1 MiB
Average record size in memory	3.4 KiB

Variable types

Categorical	41
Numeric	6
Boolean	1

Warnings

`Emirate` has constant value "Abu Dhabi"	Constant
`City` has constant value "Abu Dhabi"	Constant
`Road` has constant value "Internal road"	Constant
`Report type` has constant value "Traffic accident with injuries"	Constant
`Computed` has constant value "1"	Constant
`Computed2` has constant value "1"	Constant
Dataset has 2 (0.1%) duplicate rows	Duplicates
`Date` has a high cardinality: 706 distinct values	High cardinality
`Streets` has a high cardinality: 130 distinct values	High cardinality
`Street` has a high cardinality: 130 distinct values	High cardinality
`Nationalities` has a high cardinality: 64 distinct values	High cardinality
`Iac Rep Time` has a high cardinality: 535 distinct values	High cardinality
`Block` has a high cardinality: 94 distinct values	High cardinality
`Accident Description` has a high cardinality: 2061 distinct values	High cardinality
`Location.1` has a high cardinality: 1252 distinct values	High cardinality
`Age of the injured` is highly correlated with `Inp Age`	High correlation
`Inp Age` is highly correlated with `Age of the injured`	High correlation
`Place` is highly correlated with `Report type` and 5 other fields	High correlation
`Report type` is highly correlated with `Place` and 34 other fields	High correlation
`Year` is highly correlated with `Report type` and 5 other fields	High correlation
`Police Station` is highly correlated with `Report type` and 5 other fields	High correlation
`Fasten seat belt` is highly correlated with `Report type` and 6 other fields	High correlation
`Age Group` is highly correlated with `Report type` and 6 other fields	High correlation
`Nationality of the Injured person` is highly correlated with `Report type` and 6 other fields	High correlation
`Computed` is highly correlated with `Place` and 34 other fields	High correlation
`Computed2` is highly correlated with `Place` and 34 other fields	High correlation
`Nationalities` is highly correlated with `Report type` and 6 other fields	High correlation
`Date - Month` is highly correlated with `Report type` and 6 other fields	High correlation
`Injured person position` is highly correlated with `Report type` and 6 other fields	High correlation
`lighting` is highly correlated with `Report type` and 5 other fields	High correlation
`Pedestrian action` is highly correlated with `Report type` and 5 other fields	High correlation
`Degree of the injury` is highly correlated with `Report type` and 5 other fields	High correlation
`City` is highly correlated with `Place` and 34 other fields	High correlation
`Location` is highly correlated with `Report type` and 5 other fields	High correlation
`Report Number` is highly correlated with `Report type` and 5 other fields	High correlation
`Week` is highly correlated with `Report type` and 5 other fields	High correlation
`Block` is highly correlated with `Report type` and 5 other fields	High correlation
`Emirate` is highly correlated with `Place` and 34 other fields	High correlation
`Age Group - Ministry` is highly correlated with `Report type` and 6 other fields	High correlation
`Day.1` is highly correlated with `Report type` and 5 other fields	High correlation
`Road` is highly correlated with `Place` and 34 other fields	High correlation
`Time` is highly correlated with `Report type` and 5 other fields	High correlation
`Intersection` is highly correlated with `Report type` and 5 other fields	High correlation
`Injured person's seat` is highly correlated with `Report type` and 6 other fields	High correlation
`Reasons` is highly correlated with `Report type` and 5 other fields	High correlation
`Month` is highly correlated with `Report type` and 6 other fields	High correlation
`Road surface` is highly correlated with `Report type` and 5 other fields	High correlation
`Seat Belt` is highly correlated with `Report type` and 6 other fields	High correlation
`Gender of the injured` is highly correlated with `Report type` and 6 other fields	High correlation
`Area` is highly correlated with `Report type` and 5 other fields	High correlation
`Accident Type` is highly correlated with `Report type` and 5 other fields	High correlation
`Weather` is highly correlated with `Report type` and 5 other fields	High correlation
`Gender` is highly correlated with `Report type` and 6 other fields	High correlation
`Number of Lanes` has 78 (3.6%) missing values	Missing
`Accident Description` is uniformly distributed	Uniform

Reproduction

Analysis started	2021-02-28 15:17:03.518945
Analysis finished	2021-02-28 15:17:50.282405
Duration	46.76 seconds
Software version	pandas-profiling v2.11.0
Download configuration	config.yaml

Emirate
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.3 KiB

Abu Dhabi	2175

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	19575
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Abu Dhabi
2nd row	Abu Dhabi
3rd row	Abu Dhabi
4th row	Abu Dhabi
5th row	Abu Dhabi

Value	Count	Frequency (%)
Abu Dhabi	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
dhabi	2175	50.0%
abu	2175	50.0%

Most occurring characters

Value	Count	Frequency (%)
b	4350	22.2%
A	2175	11.1%
u	2175	11.1%
	2175	11.1%
D	2175	11.1%
h	2175	11.1%
a	2175	11.1%
i	2175	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13050	66.7%
Uppercase Letter	4350	22.2%
Space Separator	2175	11.1%

Most frequent character per category

Value	Count	Frequency (%)
b	4350	33.3%
u	2175	16.7%
h	2175	16.7%
a	2175	16.7%
i	2175	16.7%

Value	Count	Frequency (%)
A	2175	50.0%
D	2175	50.0%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17400	88.9%
Common	2175	11.1%

Most frequent character per script

Value	Count	Frequency (%)
b	4350	25.0%
A	2175	12.5%
u	2175	12.5%
D	2175	12.5%
h	2175	12.5%
a	2175	12.5%
i	2175	12.5%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19575	100.0%

Most frequent character per block

Value	Count	Frequency (%)
b	4350	22.2%
A	2175	11.1%
u	2175	11.1%
	2175	11.1%
D	2175	11.1%
h	2175	11.1%
a	2175	11.1%
i	2175	11.1%

Police Station
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	170.3 KiB

Khaldiya Police Station	1020
Shaabiya Police Station	903
Al Madina Police Station	252

Length

Max length	24
Median length	23
Mean length	23.11586207
Min length	23

Characters and Unicode

Total characters	50277
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Shaabiya Police Station
2nd row	Shaabiya Police Station
3rd row	Al Madina Police Station
4th row	Khaldiya Police Station
5th row	Khaldiya Police Station

Value	Count	Frequency (%)
Khaldiya Police Station	1020	46.9%
Shaabiya Police Station	903	41.5%
Al Madina Police Station	252	11.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
police	2175	32.1%
station	2175	32.1%
khaldiya	1020	15.1%
shaabiya	903	13.3%
al	252	3.7%
madina	252	3.7%

Most occurring characters

Value	Count	Frequency (%)
a	7428	14.8%
i	6525	13.0%
	4602	9.2%
o	4350	8.7%
t	4350	8.7%
l	3447	6.9%
S	3078	6.1%
n	2427	4.8%
P	2175	4.3%
c	2175	4.3%
Other values (8)	9720	19.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38898	77.4%
Uppercase Letter	6777	13.5%
Space Separator	4602	9.2%

Most frequent character per category

Value	Count	Frequency (%)
a	7428	19.1%
i	6525	16.8%
o	4350	11.2%
t	4350	11.2%
l	3447	8.9%
n	2427	6.2%
c	2175	5.6%
e	2175	5.6%
h	1923	4.9%
y	1923	4.9%
Other values (2)	2175	5.6%

Value	Count	Frequency (%)
S	3078	45.4%
P	2175	32.1%
K	1020	15.1%
A	252	3.7%
M	252	3.7%

Value	Count	Frequency (%)
	4602	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45675	90.8%
Common	4602	9.2%

Most frequent character per script

Value	Count	Frequency (%)
a	7428	16.3%
i	6525	14.3%
o	4350	9.5%
t	4350	9.5%
l	3447	7.5%
S	3078	6.7%
n	2427	5.3%
P	2175	4.8%
c	2175	4.8%
e	2175	4.8%
Other values (7)	7545	16.5%

Value	Count	Frequency (%)
	4602	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	50277	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	7428	14.8%
i	6525	13.0%
	4602	9.2%
o	4350	8.7%
t	4350	8.7%
l	3447	6.9%
S	3078	6.1%
n	2427	4.8%
P	2175	4.3%
c	2175	4.3%
Other values (8)	9720	19.3%

Year
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	129.7 KiB

2012	886
2011	824
2013	465

Length

Max length	4
Median length	4
Mean length	4
Min length	4

Characters and Unicode

Total characters	8700
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	2011
2nd row	2011
3rd row	2011
4th row	2011
5th row	2011

Value	Count	Frequency (%)
2012	886	40.7%
2011	824	37.9%
2013	465	21.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
2012	886	40.7%
2011	824	37.9%
2013	465	21.4%

Most occurring characters

Value	Count	Frequency (%)
2	3061	35.2%
1	2999	34.5%
0	2175	25.0%
3	465	5.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	8700	100.0%

Most frequent character per category

Value	Count	Frequency (%)
2	3061	35.2%
1	2999	34.5%
0	2175	25.0%
3	465	5.3%

Most occurring scripts

Value	Count	Frequency (%)
Common	8700	100.0%

Most frequent character per script

Value	Count	Frequency (%)
2	3061	35.2%
1	2999	34.5%
0	2175	25.0%
3	465	5.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	8700	100.0%

Most frequent character per block

Value	Count	Frequency (%)
2	3061	35.2%
1	2999	34.5%
0	2175	25.0%
3	465	5.3%

Month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	134.1 KiB

March	264
January	236
April	209
May	200
February	190
Other values (7)	1076

Length

Max length	9
Median length	6
Mean length	6.060229885
Min length	3

Characters and Unicode

Total characters	13181
Distinct characters	26
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	January
2nd row	January
3rd row	January
4th row	January
5th row	January

Value	Count	Frequency (%)
March	264	12.1%
January	236	10.9%
April	209	9.6%
May	200	9.2%
February	190	8.7%
June	188	8.6%
August	158	7.3%
December	154	7.1%
September	153	7.0%
October	149	6.9%
Other values (2)	274	12.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
march	264	12.1%
january	236	10.9%
april	209	9.6%
may	200	9.2%
february	190	8.7%
june	188	8.6%
august	158	7.3%
december	154	7.1%
september	153	7.0%
october	149	6.9%
Other values (2)	274	12.6%

Most occurring characters

Value	Count	Frequency (%)
e	1746	13.2%
r	1694	12.9%
a	1126	8.5%
u	1055	8.0%
b	795	6.0%
y	751	5.7%
c	567	4.3%
J	549	4.2%
M	464	3.5%
t	460	3.5%
Other values (16)	3974	30.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	11006	83.5%
Uppercase Letter	2175	16.5%

Most frequent character per category

Value	Count	Frequency (%)
e	1746	15.9%
r	1694	15.4%
a	1126	10.2%
u	1055	9.6%
b	795	7.2%
y	751	6.8%
c	567	5.2%
t	460	4.2%
m	456	4.1%
n	424	3.9%
Other values (8)	1932	17.6%

Value	Count	Frequency (%)
J	549	25.2%
M	464	21.3%
A	367	16.9%
F	190	8.7%
D	154	7.1%
S	153	7.0%
O	149	6.9%
N	149	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13181	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	1746	13.2%
r	1694	12.9%
a	1126	8.5%
u	1055	8.0%
b	795	6.0%
y	751	5.7%
c	567	4.3%
J	549	4.2%
M	464	3.5%
t	460	3.5%
Other values (16)	3974	30.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13181	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	1746	13.2%
r	1694	12.9%
a	1126	8.5%
u	1055	8.0%
b	795	6.0%
y	751	5.7%
c	567	4.3%
J	549	4.2%
M	464	3.5%
t	460	3.5%
Other values (16)	3974	30.1%

Date
Categorical

HIGH CARDINALITY

Distinct	706
Distinct (%)	32.5%
Missing	0
Missing (%)	0.0%
Memory size	138.2 KiB

15-07-12	17
03-01-11	16
28-12-12	12
16-03-12	12
16-02-13	12
Other values (701)	2106

Length

Max length	8
Median length	8
Mean length	8
Min length	8

Characters and Unicode

Total characters	17400
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	215 ?
Unique (%)	9.9%

Sample

1st row	01-01-11
2nd row	01-01-11
3rd row	01-01-11
4th row	01-01-11
5th row	01-01-11

Value	Count	Frequency (%)
15-07-12	17	0.8%
03-01-11	16	0.7%
28-12-12	12	0.6%
16-03-12	12	0.6%
16-02-13	12	0.6%
12-04-12	12	0.6%
05-01-11	11	0.5%
28-10-12	11	0.5%
12-04-13	11	0.5%
14-01-13	11	0.5%
Other values (696)	2050	94.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
15-07-12	17	0.8%
03-01-11	16	0.7%
28-12-12	12	0.6%
16-03-12	12	0.6%
16-02-13	12	0.6%
12-04-12	12	0.6%
05-01-11	11	0.5%
28-10-12	11	0.5%
12-04-13	11	0.5%
14-01-13	11	0.5%
Other values (696)	2050	94.3%

Most occurring characters

Value	Count	Frequency (%)
1	4805	27.6%
-	4350	25.0%
0	2793	16.1%
2	2061	11.8%
3	1093	6.3%
5	428	2.5%
4	416	2.4%
6	408	2.3%
8	362	2.1%
9	355	2.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	13050	75.0%
Dash Punctuation	4350	25.0%

Most frequent character per category

Value	Count	Frequency (%)
1	4805	36.8%
0	2793	21.4%
2	2061	15.8%
3	1093	8.4%
5	428	3.3%
4	416	3.2%
6	408	3.1%
8	362	2.8%
9	355	2.7%
7	329	2.5%

Value	Count	Frequency (%)
-	4350	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	17400	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	4805	27.6%
-	4350	25.0%
0	2793	16.1%
2	2061	11.8%
3	1093	6.3%
5	428	2.5%
4	416	2.4%
6	408	2.3%
8	362	2.1%
9	355	2.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17400	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	4805	27.6%
-	4350	25.0%
0	2793	16.1%
2	2061	11.8%
3	1093	6.3%
5	428	2.5%
4	416	2.4%
6	408	2.3%
8	362	2.1%
9	355	2.0%

City
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	140.3 KiB

Abu Dhabi	2175

Length

Max length	9
Median length	9
Mean length	9
Min length	9

Characters and Unicode

Total characters	19575
Distinct characters	8
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Abu Dhabi
2nd row	Abu Dhabi
3rd row	Abu Dhabi
4th row	Abu Dhabi
5th row	Abu Dhabi

Value	Count	Frequency (%)
Abu Dhabi	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
dhabi	2175	50.0%
abu	2175	50.0%

Most occurring characters

Value	Count	Frequency (%)
b	4350	22.2%
A	2175	11.1%
u	2175	11.1%
	2175	11.1%
D	2175	11.1%
h	2175	11.1%
a	2175	11.1%
i	2175	11.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13050	66.7%
Uppercase Letter	4350	22.2%
Space Separator	2175	11.1%

Most frequent character per category

Value	Count	Frequency (%)
b	4350	33.3%
u	2175	16.7%
h	2175	16.7%
a	2175	16.7%
i	2175	16.7%

Value	Count	Frequency (%)
A	2175	50.0%
D	2175	50.0%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17400	88.9%
Common	2175	11.1%

Most frequent character per script

Value	Count	Frequency (%)
b	4350	25.0%
A	2175	12.5%
u	2175	12.5%
D	2175	12.5%
h	2175	12.5%
a	2175	12.5%
i	2175	12.5%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19575	100.0%

Most frequent character per block

Value	Count	Frequency (%)
b	4350	22.2%
A	2175	11.1%
u	2175	11.1%
	2175	11.1%
D	2175	11.1%
h	2175	11.1%
a	2175	11.1%
i	2175	11.1%

Road
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	148.8 KiB

Internal road	2175

Length

Max length	13
Median length	13
Mean length	13
Min length	13

Characters and Unicode

Total characters	28275
Distinct characters	10
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Internal road
2nd row	Internal road
3rd row	Internal road
4th row	Internal road
5th row	Internal road

Value	Count	Frequency (%)
Internal road	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
internal	2175	50.0%
road	2175	50.0%

Most occurring characters

Value	Count	Frequency (%)
n	4350	15.4%
r	4350	15.4%
a	4350	15.4%
I	2175	7.7%
t	2175	7.7%
e	2175	7.7%
l	2175	7.7%
	2175	7.7%
o	2175	7.7%
d	2175	7.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23925	84.6%
Uppercase Letter	2175	7.7%
Space Separator	2175	7.7%

Most frequent character per category

Value	Count	Frequency (%)
n	4350	18.2%
r	4350	18.2%
a	4350	18.2%
t	2175	9.1%
e	2175	9.1%
l	2175	9.1%
o	2175	9.1%
d	2175	9.1%

Value	Count	Frequency (%)
I	2175	100.0%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	26100	92.3%
Common	2175	7.7%

Most frequent character per script

Value	Count	Frequency (%)
n	4350	16.7%
r	4350	16.7%
a	4350	16.7%
I	2175	8.3%
t	2175	8.3%
e	2175	8.3%
l	2175	8.3%
o	2175	8.3%
d	2175	8.3%

Value	Count	Frequency (%)
	2175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	28275	100.0%

Most frequent character per block

Value	Count	Frequency (%)
n	4350	15.4%
r	4350	15.4%
a	4350	15.4%
I	2175	7.7%
t	2175	7.7%
e	2175	7.7%
l	2175	7.7%
	2175	7.7%
o	2175	7.7%
d	2175	7.7%

Report Number
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	150.9 KiB

100000000000.0	2139
912000000000.0	11
114000000000.0	10
112000000000.0	9
115000000000.0	6

Length

Max length	14
Median length	14
Mean length	14
Min length	14

Characters and Unicode

Total characters	30450
Distinct characters	7
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	100000000000.0
2nd row	100000000000.0
3rd row	100000000000.0
4th row	100000000000.0
5th row	100000000000.0

Value	Count	Frequency (%)
100000000000.0	2139	98.3%
912000000000.0	11	0.5%
114000000000.0	10	0.5%
112000000000.0	9	0.4%
115000000000.0	6	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
100000000000.0	2139	98.3%
912000000000.0	11	0.5%
114000000000.0	10	0.5%
112000000000.0	9	0.4%
115000000000.0	6	0.3%

Most occurring characters

Value	Count	Frequency (%)
0	26028	85.5%
1	2200	7.2%
.	2175	7.1%
2	20	0.1%
9	11	< 0.1%
4	10	< 0.1%
5	6	< 0.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	28275	92.9%
Other Punctuation	2175	7.1%

Most frequent character per category

Value	Count	Frequency (%)
0	26028	92.1%
1	2200	7.8%
2	20	0.1%
9	11	< 0.1%
4	10	< 0.1%
5	6	< 0.1%

Value	Count	Frequency (%)
.	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	30450	100.0%

Most frequent character per script

Value	Count	Frequency (%)
0	26028	85.5%
1	2200	7.2%
.	2175	7.1%
2	20	0.1%
9	11	< 0.1%
4	10	< 0.1%
5	6	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30450	100.0%

Most frequent character per block

Value	Count	Frequency (%)
0	26028	85.5%
1	2200	7.2%
.	2175	7.1%
2	20	0.1%
9	11	< 0.1%
4	10	< 0.1%
5	6	< 0.1%

Day
Real number (ℝ_≥0)

Distinct	31
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	15.21931034
Minimum	1
Maximum	31
Zeros	0
Zeros (%)	0.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	7
median	15
Q3	23
95-th percentile	30
Maximum	31
Range	30
Interquartile range (IQR)	16

Descriptive statistics

Standard deviation	8.900409554
Coefficient of variation (CV)	0.5848103069
Kurtosis	-1.178917132
Mean	15.21931034
Median Absolute Deviation (MAD)	8
Skewness	0.1281609189
Sum	33102
Variance	79.21729023
Monotocity	Not monotonic

Histogram with fixed size bins (bins=31)

Value	Count	Frequency (%)
3	115	5.3%
16	94	4.3%
5	94	4.3%
14	88	4.0%
7	84	3.9%
10	78	3.6%
20	78	3.6%
9	77	3.5%
29	76	3.5%
28	75	3.4%
Other values (21)	1316	60.5%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	72	3.3%
2	62	2.9%
3	115	5.3%
4	58	2.7%
5	94	4.3%
6	64	2.9%
7	84	3.9%
8	70	3.2%
9	77	3.5%
10	78	3.6%

Value	Count	Frequency (%)
31	48	2.2%
30	69	3.2%
29	76	3.5%
28	75	3.4%
27	53	2.4%
26	62	2.9%
25	60	2.8%
24	61	2.8%
23	62	2.9%
22	53	2.4%

Week
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	1
Missing (%)	< 0.1%
Memory size	143.0 KiB

First week	1207
Second week	321
Third week	289
Fourth week	246
Fifth week	111

Length

Max length	11
Median length	10
Mean length	10.26080957
Min length	10

Characters and Unicode

Total characters	22307
Distinct characters	18
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	First week
2nd row	First week
3rd row	First week
4th row	First week
5th row	First week

Value	Count	Frequency (%)
First week	1207	55.5%
Second week	321	14.8%
Third week	289	13.3%
Fourth week	246	11.3%
Fifth week	111	5.1%
(Missing)	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
week	2174	50.0%
first	1207	27.8%
second	321	7.4%
third	289	6.6%
fourth	246	5.7%
fifth	111	2.6%

Most occurring characters

Value	Count	Frequency (%)
e	4669	20.9%
	2174	9.7%
w	2174	9.7%
k	2174	9.7%
r	1742	7.8%
i	1607	7.2%
F	1564	7.0%
t	1564	7.0%
s	1207	5.4%
h	646	2.9%
Other values (8)	2786	12.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17959	80.5%
Uppercase Letter	2174	9.7%
Space Separator	2174	9.7%

Most frequent character per category

Value	Count	Frequency (%)
e	4669	26.0%
w	2174	12.1%
k	2174	12.1%
r	1742	9.7%
i	1607	8.9%
t	1564	8.7%
s	1207	6.7%
h	646	3.6%
d	610	3.4%
o	567	3.2%
Other values (4)	999	5.6%

Value	Count	Frequency (%)
F	1564	71.9%
S	321	14.8%
T	289	13.3%

Value	Count	Frequency (%)
	2174	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	20133	90.3%
Common	2174	9.7%

Most frequent character per script

Value	Count	Frequency (%)
e	4669	23.2%
w	2174	10.8%
k	2174	10.8%
r	1742	8.7%
i	1607	8.0%
F	1564	7.8%
t	1564	7.8%
s	1207	6.0%
h	646	3.2%
d	610	3.0%
Other values (7)	2176	10.8%

Value	Count	Frequency (%)
	2174	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22307	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	4669	20.9%
	2174	9.7%
w	2174	9.7%
k	2174	9.7%
r	1742	7.8%
i	1607	7.2%
F	1564	7.0%
t	1564	7.0%
s	1207	5.4%
h	646	2.9%
Other values (8)	2786	12.5%

Report type
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	184.9 KiB

Traffic accident with injuries	2175

Length

Max length	30
Median length	30
Mean length	30
Min length	30

Characters and Unicode

Total characters	65250
Distinct characters	16
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Traffic accident with injuries
2nd row	Traffic accident with injuries
3rd row	Traffic accident with injuries
4th row	Traffic accident with injuries
5th row	Traffic accident with injuries

Value	Count	Frequency (%)
Traffic accident with injuries	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
traffic	2175	25.0%
injuries	2175	25.0%
with	2175	25.0%
accident	2175	25.0%

Most occurring characters

Value	Count	Frequency (%)
i	10875	16.7%
c	6525	10.0%
	6525	10.0%
r	4350	6.7%
a	4350	6.7%
f	4350	6.7%
e	4350	6.7%
n	4350	6.7%
t	4350	6.7%
T	2175	3.3%
Other values (6)	13050	20.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	56550	86.7%
Space Separator	6525	10.0%
Uppercase Letter	2175	3.3%

Most frequent character per category

Value	Count	Frequency (%)
i	10875	19.2%
c	6525	11.5%
r	4350	7.7%
a	4350	7.7%
f	4350	7.7%
e	4350	7.7%
n	4350	7.7%
t	4350	7.7%
d	2175	3.8%
w	2175	3.8%
Other values (4)	8700	15.4%

Value	Count	Frequency (%)
T	2175	100.0%

Value	Count	Frequency (%)
	6525	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	58725	90.0%
Common	6525	10.0%

Most frequent character per script

Value	Count	Frequency (%)
i	10875	18.5%
c	6525	11.1%
r	4350	7.4%
a	4350	7.4%
f	4350	7.4%
e	4350	7.4%
n	4350	7.4%
t	4350	7.4%
T	2175	3.7%
d	2175	3.7%
Other values (5)	10875	18.5%

Value	Count	Frequency (%)
	6525	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	65250	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	10875	16.7%
c	6525	10.0%
	6525	10.0%
r	4350	6.7%
a	4350	6.7%
f	4350	6.7%
e	4350	6.7%
n	4350	6.7%
t	4350	6.7%
T	2175	3.3%
Other values (6)	13050	20.0%

Reasons
Categorical

HIGH CORRELATION

Distinct	26
Distinct (%)	1.2%
Missing	0
Missing (%)	0.0%
Memory size	189.0 KiB

Bypassing the red traffic light	935
Speedy without taking road conditions into account	347
Not leaving enough space	192
Misuse of traffic	153
Ignoring road lane	135
Other values (21)	413

Length

Max length	51
Median length	31
Mean length	31.91310345
Min length	10

Characters and Unicode

Total characters	69411
Distinct characters	38
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.2%

Sample

1st row	under influence of intoxicant or narcotic drug
2nd row	under influence of intoxicant or narcotic drug
3rd row	under influence of intoxicant or narcotic drug
4th row	Bypassing the red traffic light
5th row	Negligence and inobservance

Value	Count	Frequency (%)
Bypassing the red traffic light	935	43.0%
Speedy without taking road conditions into account	347	16.0%
Not leaving enough space	192	8.8%
Misuse of traffic	153	7.0%
Ignoring road lane	135	6.2%
under influence of intoxicant or narcotic drug	118	5.4%
Sudden deviation	62	2.9%
Not observing the stop sign	40	1.8%
Not giving priority to pedestrian crossing	31	1.4%
Negligence and inobservance	30	1.4%
Other values (16)	132	6.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
traffic	1128	10.5%
the	979	9.1%
bypassing	935	8.7%
light	935	8.7%
red	935	8.7%
road	507	4.7%
without	391	3.6%
account	347	3.2%
speedy	347	3.2%
into	347	3.2%
Other values (57)	3882	36.2%

Most occurring characters

Value	Count	Frequency (%)
	8558	12.3%
i	6530	9.4%
t	6183	8.9%
n	4879	7.0%
e	4474	6.4%
a	4361	6.3%
o	3864	5.6%
r	3534	5.1%
g	3409	4.9%
c	3056	4.4%
Other values (28)	20563	29.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	58721	84.6%
Space Separator	8558	12.3%
Uppercase Letter	2055	3.0%
Other Punctuation	75	0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	6530	11.1%
t	6183	10.5%
n	4879	8.3%
e	4474	7.6%
a	4361	7.4%
o	3864	6.6%
r	3534	6.0%
g	3409	5.8%
c	3056	5.2%
s	3048	5.2%
Other values (13)	15383	26.2%

Value	Count	Frequency (%)
B	935	45.5%
S	420	20.4%
N	318	15.5%
M	153	7.4%
I	138	6.7%
E	47	2.3%
D	23	1.1%
L	10	0.5%
F	9	0.4%
T	2	0.1%

Value	Count	Frequency (%)
?	59	78.7%
/	16	21.3%

Value	Count	Frequency (%)
	8558	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60776	87.6%
Common	8635	12.4%

Most frequent character per script

Value	Count	Frequency (%)
i	6530	10.7%
t	6183	10.2%
n	4879	8.0%
e	4474	7.4%
a	4361	7.2%
o	3864	6.4%
r	3534	5.8%
g	3409	5.6%
c	3056	5.0%
s	3048	5.0%
Other values (23)	17438	28.7%

Value	Count	Frequency (%)
	8558	99.1%
?	59	0.7%
/	16	0.2%
(	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	69411	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	8558	12.3%
i	6530	9.4%
t	6183	8.9%
n	4879	7.0%
e	4474	6.4%
a	4361	6.3%
o	3864	5.6%
r	3534	5.1%
g	3409	4.9%
c	3056	4.4%
Other values (28)	20563	29.6%

Computed
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.3 KiB

1	2175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2175
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2175	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2175	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2175	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	2175	100.0%

Streets
Categorical

HIGH CARDINALITY

Distinct	130
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	198.1 KiB

Al Sharqi Street (Muroor) (4)	157
Street Arabian Gulf(30)	144
Rashed Bin Saeed Al-Maktoum Street (2)	137
Street Salam (8)	94
Street Corniche(1)	65
Other values (125)	1578

Length

Max length	67
Median length	38
Mean length	36.19494253
Min length	9

Characters and Unicode

Total characters	78724
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.8%

Sample

1st row	Rashid Bin Saeed Al Maktoum intersection - Street IP28A 27
2nd row	Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A
3rd row	Street 10
4th row	Rashed bin Saeed Al-Maktoum intersection - Street 29 IP76
5th row	Khalifa Bin Shakhbout Street (28)

Value	Count	Frequency (%)
Al Sharqi Street (Muroor) (4)	157	7.2%
Street Arabian Gulf(30)	144	6.6%
Rashed Bin Saeed Al-Maktoum Street (2)	137	6.3%
Street Salam (8)	94	4.3%
Street Corniche(1)	65	3.0%
Street Zayed Al Awal(7)	63	2.9%
Street Falah(9)	50	2.3%
Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A	50	2.3%
IP75D IntersectionAl Sharqi (Muroor) - Street 31	45	2.1%
Street Hamdan Bin Mohamed(5)	45	2.1%
Other values (120)	1325	60.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
street	1435	12.2%
	1041	8.8%
bin	877	7.5%
al	761	6.5%
saeed	356	3.0%
muroor	348	3.0%
sharqi	348	3.0%
al-maktoum	316	2.7%
awal	274	2.3%
arabian	274	2.3%
Other values (208)	5734	48.7%

Most occurring characters

Value	Count	Frequency (%)
	9589	12.2%
e	7162	9.1%
a	6365	8.1%
t	5579	7.1%
r	4300	5.5%
n	4018	5.1%
i	3441	4.4%
l	2780	3.5%
o	2678	3.4%
S	2615	3.3%
Other values (51)	30197	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47988	61.0%
Uppercase Letter	12463	15.8%
Space Separator	9589	12.2%
Decimal Number	4219	5.4%
Open Punctuation	1471	1.9%
Close Punctuation	1471	1.9%
Dash Punctuation	1348	1.7%
Other Punctuation	175	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	7162	14.9%
a	6365	13.3%
t	5579	11.6%
r	4300	9.0%
n	4018	8.4%
i	3441	7.2%
l	2780	5.8%
o	2678	5.6%
d	1818	3.8%
h	1578	3.3%
Other values (14)	8269	17.2%

Value	Count	Frequency (%)
S	2615	21.0%
A	2278	18.3%
I	2074	16.6%
P	1114	8.9%
M	1011	8.1%
B	945	7.6%
Z	446	3.6%
G	375	3.0%
R	373	3.0%
K	299	2.4%
Other values (12)	933	7.5%

Value	Count	Frequency (%)
3	696	16.5%
1	674	16.0%
2	577	13.7%
4	446	10.6%
7	393	9.3%
5	376	8.9%
0	326	7.7%
9	284	6.7%
8	242	5.7%
6	205	4.9%

Value	Count	Frequency (%)
	9589	100.0%

Value	Count	Frequency (%)
-	1348	100.0%

Value	Count	Frequency (%)
(	1471	100.0%

Value	Count	Frequency (%)
)	1471	100.0%

Value	Count	Frequency (%)
?	175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60451	76.8%
Common	18273	23.2%

Most frequent character per script

Value	Count	Frequency (%)
e	7162	11.8%
a	6365	10.5%
t	5579	9.2%
r	4300	7.1%
n	4018	6.6%
i	3441	5.7%
l	2780	4.6%
o	2678	4.4%
S	2615	4.3%
A	2278	3.8%
Other values (36)	19235	31.8%

Value	Count	Frequency (%)
	9589	52.5%
(	1471	8.1%
)	1471	8.1%
-	1348	7.4%
3	696	3.8%
1	674	3.7%
2	577	3.2%
4	446	2.4%
7	393	2.2%
5	376	2.1%
Other values (5)	1232	6.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78724	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	9589	12.2%
e	7162	9.1%
a	6365	8.1%
t	5579	7.1%
r	4300	5.5%
n	4018	5.1%
i	3441	4.4%
l	2780	3.5%
o	2678	3.4%
S	2615	3.3%
Other values (51)	30197	38.4%

Street
Categorical

HIGH CARDINALITY

Distinct	130
Distinct (%)	6.0%
Missing	0
Missing (%)	0.0%
Memory size	197.9 KiB

Al Sharqi Street (Muroor) (4)	157
Street Arabian Gulf(30)	144
Rashed Bin Saeed Al-Maktoum Street (2)	137
Street Salam (8)	94
Street Corniche(1)	65
Other values (125)	1578

Length

Max length	67
Median length	38
Mean length	36.11402299
Min length	9

Characters and Unicode

Total characters	78548
Distinct characters	61
Distinct categories	8 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	18 ?
Unique (%)	0.8%

Sample

1st row	Rashid Bin Saeed Al Maktoum intersection - Street IP28A 27
2nd row	Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A
3rd row	Street 10
4th row	Rashed bin Saeed Al-Maktoum intersection - Street 29 IP76
5th row	Khalifa Bin Shakhbout Street (28)

Value	Count	Frequency (%)
Al Sharqi Street (Muroor) (4)	157	7.2%
Street Arabian Gulf(30)	144	6.6%
Rashed Bin Saeed Al-Maktoum Street (2)	137	6.3%
Street Salam (8)	94	4.3%
Street Corniche(1)	65	3.0%
Street Zayed Al Awal(7)	63	2.9%
Street Falah(9)	50	2.3%
Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A	50	2.3%
Street Hamdan Bin Mohamed(5)	45	2.1%
IP75D IntersectionAl Sharqi (Muroor) - Street 31	45	2.1%
Other values (120)	1325	60.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
street	1435	12.2%
	1041	8.9%
bin	877	7.5%
al	761	6.5%
saeed	356	3.0%
sharqi	348	3.0%
muroor	348	3.0%
al-maktoum	316	2.7%
arabian	274	2.3%
awal	274	2.3%
Other values (205)	5710	48.6%

Most occurring characters

Value	Count	Frequency (%)
	9565	12.2%
e	7146	9.1%
a	6365	8.1%
t	5555	7.1%
r	4276	5.4%
n	4002	5.1%
i	3425	4.4%
l	2780	3.5%
o	2662	3.4%
S	2615	3.3%
Other values (51)	30157	38.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	47836	60.9%
Uppercase Letter	12463	15.9%
Space Separator	9565	12.2%
Decimal Number	4219	5.4%
Open Punctuation	1471	1.9%
Close Punctuation	1471	1.9%
Dash Punctuation	1348	1.7%
Other Punctuation	175	0.2%

Most frequent character per category

Value	Count	Frequency (%)
S	2615	21.0%
A	2278	18.3%
I	2074	16.6%
P	1114	8.9%
M	1011	8.1%
B	945	7.6%
Z	446	3.6%
G	375	3.0%
R	373	3.0%
K	299	2.4%
Other values (13)	933	7.5%

Value	Count	Frequency (%)
e	7146	14.9%
a	6365	13.3%
t	5555	11.6%
r	4276	8.9%
n	4002	8.4%
i	3425	7.2%
l	2780	5.8%
o	2662	5.6%
d	1826	3.8%
h	1578	3.3%
Other values (13)	8221	17.2%

Value	Count	Frequency (%)
3	696	16.5%
1	674	16.0%
2	577	13.7%
4	446	10.6%
7	393	9.3%
5	376	8.9%
0	326	7.7%
9	284	6.7%
8	242	5.7%
6	205	4.9%

Value	Count	Frequency (%)
	9565	100.0%

Value	Count	Frequency (%)
-	1348	100.0%

Value	Count	Frequency (%)
(	1471	100.0%

Value	Count	Frequency (%)
)	1471	100.0%

Value	Count	Frequency (%)
?	175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	60299	76.8%
Common	18249	23.2%

Most frequent character per script

Value	Count	Frequency (%)
e	7146	11.9%
a	6365	10.6%
t	5555	9.2%
r	4276	7.1%
n	4002	6.6%
i	3425	5.7%
l	2780	4.6%
o	2662	4.4%
S	2615	4.3%
A	2278	3.8%
Other values (36)	19195	31.8%

Value	Count	Frequency (%)
	9565	52.4%
(	1471	8.1%
)	1471	8.1%
-	1348	7.4%
3	696	3.8%
1	674	3.7%
2	577	3.2%
4	446	2.4%
7	393	2.2%
5	376	2.1%
Other values (5)	1232	6.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	78548	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	9565	12.2%
e	7146	9.1%
a	6365	8.1%
t	5555	7.1%
r	4276	5.4%
n	4002	5.1%
i	3425	4.4%
l	2780	3.5%
o	2662	3.4%
S	2615	3.3%
Other values (51)	30157	38.4%

Place
Categorical

HIGH CORRELATION

Distinct	17
Distinct (%)	0.8%
Missing	0
Missing (%)	0.0%
Memory size	151.4 KiB

Commercial area	997
Residential area	404
Govt. authority	336
Bridge / Tunnel	106
Fuel Station	79
Other values (12)	253

Length

Max length	22
Median length	15
Mean length	14.23034483
Min length	4

Characters and Unicode

Total characters	30951
Distinct characters	38
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Govt. authority
2nd row	Commercial area
3rd row	Commercial area
4th row	Commercial area
5th row	Other

Value	Count	Frequency (%)
Commercial area	997	45.8%
Residential area	404	18.6%
Govt. authority	336	15.4%
Bridge / Tunnel	106	4.9%
Fuel Station	79	3.6%
School	67	3.1%
Hospital	64	2.9%
Mosque	39	1.8%
Park	20	0.9%
One level intersection	15	0.7%
Other values (7)	48	2.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
area	1422	33.4%
commercial	997	23.4%
residential	404	9.5%
authority	336	7.9%
govt	336	7.9%
	106	2.5%
tunnel	106	2.5%
bridge	106	2.5%
fuel	79	1.9%
station	79	1.9%
Other values (15)	287	6.7%

Most occurring characters

Value	Count	Frequency (%)
a	4778	15.4%
e	3653	11.8%
r	2928	9.5%
i	2420	7.8%
	2083	6.7%
o	2027	6.5%
m	1994	6.4%
l	1767	5.7%
t	1690	5.5%
c	1079	3.5%
Other values (28)	6532	21.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26073	84.2%
Uppercase Letter	2353	7.6%
Space Separator	2083	6.7%
Other Punctuation	442	1.4%

Most frequent character per category

Value	Count	Frequency (%)
a	4778	18.3%
e	3653	14.0%
r	2928	11.2%
i	2420	9.3%
o	2027	7.8%
m	1994	7.6%
l	1767	6.8%
t	1690	6.5%
c	1079	4.1%
n	761	2.9%
Other values (12)	2976	11.4%

Value	Count	Frequency (%)
C	1006	42.8%
R	404	17.2%
G	336	14.3%
S	147	6.2%
B	106	4.5%
T	106	4.5%
F	79	3.4%
H	64	2.7%
M	39	1.7%
O	28	1.2%
Other values (3)	38	1.6%

Value	Count	Frequency (%)
.	336	76.0%
/	106	24.0%

Value	Count	Frequency (%)
	2083	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	28426	91.8%
Common	2525	8.2%

Most frequent character per script

Value	Count	Frequency (%)
a	4778	16.8%
e	3653	12.9%
r	2928	10.3%
i	2420	8.5%
o	2027	7.1%
m	1994	7.0%
l	1767	6.2%
t	1690	5.9%
c	1079	3.8%
C	1006	3.5%
Other values (25)	5084	17.9%

Value	Count	Frequency (%)
	2083	82.5%
.	336	13.3%
/	106	4.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30951	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	4778	15.4%
e	3653	11.8%
r	2928	9.5%
i	2420	7.8%
	2083	6.7%
o	2027	6.5%
m	1994	6.4%
l	1767	5.7%
t	1690	5.5%
c	1079	3.5%
Other values (28)	6532	21.1%

Location
Categorical

HIGH CORRELATION

Distinct	15
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Memory size	144.8 KiB

Intersection	1088
Double road	524
Highway	213
Single road	110
Car parking	86
Other values (10)	154

Length

Max length	16
Median length	12
Mean length	11.11862069
Min length	1

Characters and Unicode

Total characters	24183
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Intersection
2nd row	Intersection
3rd row	Highway
4th row	Intersection
5th row	Single road

Value	Count	Frequency (%)
Intersection	1088	50.0%
Double road	524	24.1%
Highway	213	9.8%
Single road	110	5.1%
Car parking	86	4.0%
Bridge / Tunnel	41	1.9%
Bridge	36	1.7%
Two-way road	25	1.1%
Other(specify)	15	0.7%
Unknown	13	0.6%
Other values (5)	24	1.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
intersection	1088	36.1%
road	660	21.9%
double	524	17.4%
highway	213	7.1%
single	110	3.7%
parking	95	3.2%
car	86	2.9%
bridge	77	2.6%
tunnel	43	1.4%
	41	1.4%
Other values (7)	75	2.5%

Most occurring characters

Value	Count	Frequency (%)
e	2970	12.3%
n	2517	10.4%
o	2332	9.6%
t	2203	9.1%
r	2021	8.4%
i	1607	6.6%
s	1103	4.6%
c	1103	4.6%
a	1090	4.5%
I	1088	4.5%
Other values (25)	6149	25.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	20992	86.8%
Uppercase Letter	2215	9.2%
Space Separator	880	3.6%
Other Punctuation	41	0.2%
Dash Punctuation	25	0.1%
Open Punctuation	15	0.1%
Close Punctuation	15	0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	2970	14.1%
n	2517	12.0%
o	2332	11.1%
t	2203	10.5%
r	2021	9.6%
i	1607	7.7%
s	1103	5.3%
c	1103	5.3%
a	1090	5.2%
d	757	3.6%
Other values (10)	3289	15.7%

Value	Count	Frequency (%)
I	1088	49.1%
D	524	23.7%
H	213	9.6%
S	119	5.4%
C	86	3.9%
B	77	3.5%
T	68	3.1%
O	16	0.7%
U	13	0.6%
R	11	0.5%

Value	Count	Frequency (%)
	880	100.0%

Value	Count	Frequency (%)
-	25	100.0%

Value	Count	Frequency (%)
/	41	100.0%

Value	Count	Frequency (%)
(	15	100.0%

Value	Count	Frequency (%)
)	15	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23207	96.0%
Common	976	4.0%

Most frequent character per script

Value	Count	Frequency (%)
e	2970	12.8%
n	2517	10.8%
o	2332	10.0%
t	2203	9.5%
r	2021	8.7%
i	1607	6.9%
s	1103	4.8%
c	1103	4.8%
a	1090	4.7%
I	1088	4.7%
Other values (20)	5173	22.3%

Value	Count	Frequency (%)
	880	90.2%
/	41	4.2%
-	25	2.6%
(	15	1.5%
)	15	1.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24183	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	2970	12.3%
n	2517	10.4%
o	2332	9.6%
t	2203	9.1%
r	2021	8.4%
i	1607	6.6%
s	1103	4.6%
c	1103	4.6%
a	1090	4.5%
I	1088	4.5%
Other values (25)	6149	25.4%

lighting
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	143.5 KiB

day	1265
night - enough lights	903
night - weak lights	7

Length

Max length	21
Median length	3
Mean length	10.5245977
Min length	3

Characters and Unicode

Total characters	22891
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	night - enough lights
2nd row	night - enough lights
3rd row	night - enough lights
4th row	day
5th row	night - enough lights

Value	Count	Frequency (%)
day	1265	58.2%
night - enough lights	903	41.5%
night - weak lights	7	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
day	1265	25.8%
night	910	18.6%
lights	910	18.6%
	910	18.6%
enough	903	18.4%
weak	7	0.1%

Most occurring characters

Value	Count	Frequency (%)
	2730	11.9%
g	2723	11.9%
h	2723	11.9%
i	1820	8.0%
t	1820	8.0%
n	1813	7.9%
a	1272	5.6%
d	1265	5.5%
y	1265	5.5%
-	910	4.0%
Other values (7)	4550	19.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	19251	84.1%
Space Separator	2730	11.9%
Dash Punctuation	910	4.0%

Most frequent character per category

Value	Count	Frequency (%)
g	2723	14.1%
h	2723	14.1%
i	1820	9.5%
t	1820	9.5%
n	1813	9.4%
a	1272	6.6%
d	1265	6.6%
y	1265	6.6%
e	910	4.7%
l	910	4.7%
Other values (5)	2730	14.2%

Value	Count	Frequency (%)
	2730	100.0%

Value	Count	Frequency (%)
-	910	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	19251	84.1%
Common	3640	15.9%

Most frequent character per script

Value	Count	Frequency (%)
g	2723	14.1%
h	2723	14.1%
i	1820	9.5%
t	1820	9.5%
n	1813	9.4%
a	1272	6.6%
d	1265	6.6%
y	1265	6.6%
e	910	4.7%
l	910	4.7%
Other values (5)	2730	14.2%

Value	Count	Frequency (%)
	2730	75.0%
-	910	25.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22891	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	2730	11.9%
g	2723	11.9%
h	2723	11.9%
i	1820	8.0%
t	1820	8.0%
n	1813	7.9%
a	1272	5.6%
d	1265	5.5%
y	1265	5.5%
-	910	4.0%
Other values (7)	4550	19.9%

Weather
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	131.8 KiB

clear	2149
rainy	11
????	7
dusty	4
cloudy	2
Other values (2)	2

Length

Max length	7
Median length	5
Mean length	4.99954023
Min length	4

Characters and Unicode

Total characters	10874
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	clear
2nd row	clear
3rd row	clear
4th row	clear
5th row	clear

Value	Count	Frequency (%)
clear	2149	98.8%
rainy	11	0.5%
????	7	0.3%
dusty	4	0.2%
cloudy	2	0.1%
unknown	1	< 0.1%
Unknown	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
clear	2149	98.8%
rainy	11	0.5%
	7	0.3%
dusty	4	0.2%
cloudy	2	0.1%
unknown	2	0.1%

Most occurring characters

Value	Count	Frequency (%)
a	2160	19.9%
r	2160	19.9%
c	2151	19.8%
l	2151	19.8%
e	2149	19.8%
?	28	0.3%
y	17	0.2%
n	17	0.2%
i	11	0.1%
u	7	0.1%
Other values (7)	23	0.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10845	99.7%
Other Punctuation	28	0.3%
Uppercase Letter	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	2160	19.9%
r	2160	19.9%
c	2151	19.8%
l	2151	19.8%
e	2149	19.8%
y	17	0.2%
n	17	0.2%
i	11	0.1%
u	7	0.1%
d	6	0.1%
Other values (5)	16	0.1%

Value	Count	Frequency (%)
U	1	100.0%

Value	Count	Frequency (%)
?	28	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10846	99.7%
Common	28	0.3%

Most frequent character per script

Value	Count	Frequency (%)
a	2160	19.9%
r	2160	19.9%
c	2151	19.8%
l	2151	19.8%
e	2149	19.8%
y	17	0.2%
n	17	0.2%
i	11	0.1%
u	7	0.1%
d	6	0.1%
Other values (6)	17	0.2%

Value	Count	Frequency (%)
?	28	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10874	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	2160	19.9%
r	2160	19.9%
c	2151	19.8%
l	2151	19.8%
e	2149	19.8%
?	28	0.3%
y	17	0.2%
n	17	0.2%
i	11	0.1%
u	7	0.1%
Other values (7)	23	0.2%

Road surface
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	127.6 KiB

Dry	2143
wet	22
paved	4
????	4
Other (specify)	1

Length

Max length	17
Median length	3
Mean length	3.017471264
Min length	3

Characters and Unicode

Total characters	6563
Distinct characters	22
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Dry
2nd row	Dry
3rd row	Dry
4th row	Dry
5th row	Dry

Value	Count	Frequency (%)
Dry	2143	98.5%
wet	22	1.0%
paved	4	0.2%
????	4	0.2%
Other (specify)	1	< 0.1%
covered with sand	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
dry	2143	98.4%
wet	22	1.0%
paved	4	0.2%
	4	0.2%
with	1	< 0.1%
sand	1	< 0.1%
covered	1	< 0.1%
specify	1	< 0.1%
other	1	< 0.1%

Most occurring characters

Value	Count	Frequency (%)
r	2145	32.7%
y	2144	32.7%
D	2143	32.7%
e	30	0.5%
t	24	0.4%
w	23	0.4%
?	16	0.2%
d	6	0.1%
p	5	0.1%
a	5	0.1%
Other values (12)	22	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4398	67.0%
Uppercase Letter	2144	32.7%
Other Punctuation	16	0.2%
Space Separator	3	< 0.1%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
r	2145	48.8%
y	2144	48.7%
e	30	0.7%
t	24	0.5%
w	23	0.5%
d	6	0.1%
p	5	0.1%
a	5	0.1%
v	5	0.1%
h	2	< 0.1%
Other values (6)	9	0.2%

Value	Count	Frequency (%)
D	2143	> 99.9%
O	1	< 0.1%

Value	Count	Frequency (%)
?	16	100.0%

Value	Count	Frequency (%)
	3	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6542	99.7%
Common	21	0.3%

Most frequent character per script

Value	Count	Frequency (%)
r	2145	32.8%
y	2144	32.8%
D	2143	32.8%
e	30	0.5%
t	24	0.4%
w	23	0.4%
d	6	0.1%
p	5	0.1%
a	5	0.1%
v	5	0.1%
Other values (8)	12	0.2%

Value	Count	Frequency (%)
?	16	76.2%
	3	14.3%
(	1	4.8%
)	1	4.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6563	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	2145	32.7%
y	2144	32.7%
D	2143	32.7%
e	30	0.5%
t	24	0.4%
w	23	0.4%
?	16	0.2%
d	6	0.1%
p	5	0.1%
a	5	0.1%
Other values (12)	22	0.3%

Intersection
Categorical

HIGH CORRELATION

Distinct	10
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	171.1 KiB

Perpendicular Intersection	984
Not on Intersection	484
Not on or around 20 meters	353
Half Perpendicular Intersection	128
Multiple leg Intersection	87
Other values (5)	139

Length

Max length	31
Median length	26
Mean length	23.48367816
Min length	5

Characters and Unicode

Total characters	51077
Distinct characters	32
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	Perpendicular Intersection
2nd row	Perpendicular Intersection
3rd row	Not on Intersection
4th row	Perpendicular Intersection
5th row	Not on Intersection

Value	Count	Frequency (%)
Perpendicular Intersection	984	45.2%
Not on Intersection	484	22.3%
Not on or around 20 meters	353	16.2%
Half Perpendicular Intersection	128	5.9%
Multiple leg Intersection	87	4.0%
Other	53	2.4%
Roundabout	41	1.9%
Turn	38	1.7%
????? ??? ?????	6	0.3%
Deviated intersection	1	< 0.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
intersection	1684	26.6%
perpendicular	1112	17.6%
not	837	13.2%
on	837	13.2%
meters	353	5.6%
20	353	5.6%
or	353	5.6%
around	353	5.6%
half	128	2.0%
multiple	87	1.4%
Other values (6)	238	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	6527	12.8%
n	5749	11.3%
r	5058	9.9%
t	4740	9.3%
	4198	8.2%
o	4146	8.1%
i	2885	5.6%
c	2796	5.5%
s	2037	4.0%
I	1683	3.3%
Other values (22)	11258	22.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	42115	82.5%
Space Separator	4198	8.2%
Uppercase Letter	3980	7.8%
Decimal Number	706	1.4%
Other Punctuation	78	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	6527	15.5%
n	5749	13.7%
r	5058	12.0%
t	4740	11.3%
o	4146	9.8%
i	2885	6.9%
c	2796	6.6%
s	2037	4.8%
u	1672	4.0%
a	1635	3.9%
Other values (9)	4870	11.6%

Value	Count	Frequency (%)
I	1683	42.3%
P	1112	27.9%
N	837	21.0%
H	128	3.2%
M	87	2.2%
O	53	1.3%
R	41	1.0%
T	38	1.0%
D	1	< 0.1%

Value	Count	Frequency (%)
2	353	50.0%
0	353	50.0%

Value	Count	Frequency (%)
	4198	100.0%

Value	Count	Frequency (%)
?	78	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	46095	90.2%
Common	4982	9.8%

Most frequent character per script

Value	Count	Frequency (%)
e	6527	14.2%
n	5749	12.5%
r	5058	11.0%
t	4740	10.3%
o	4146	9.0%
i	2885	6.3%
c	2796	6.1%
s	2037	4.4%
I	1683	3.7%
u	1672	3.6%
Other values (18)	8802	19.1%

Value	Count	Frequency (%)
	4198	84.3%
2	353	7.1%
0	353	7.1%
?	78	1.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	51077	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	6527	12.8%
n	5749	11.3%
r	5058	9.9%
t	4740	9.3%
	4198	8.2%
o	4146	8.1%
i	2885	5.6%
c	2796	5.5%
s	2037	4.0%
I	1683	3.3%
Other values (22)	11258	22.0%

Accident Type
Categorical

HIGH CORRELATION

Distinct	14
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	163.6 KiB

Perpendicular collision	991
Person run over	391
Rear collision	356
Side collision	150
Hitting a stationary object on the road	101
Other values (9)	186

Length

Max length	40
Median length	23
Mean length	19.96091954
Min length	4

Characters and Unicode

Total characters	43415
Distinct characters	33
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2 ?
Unique (%)	0.1%

Sample

1st row	Perpendicular collision
2nd row	Side collision
3rd row	Hitting a stationary object off the road
4th row	Side collision
5th row	Hitting a stationary object on the road

Value	Count	Frequency (%)
Perpendicular collision	991	45.6%
Person run over	391	18.0%
Rear collision	356	16.4%
Side collision	150	6.9%
Hitting a stationary object on the road	101	4.6%
deterioration	73	3.4%
Reciprocal collision	41	1.9%
Hitting a stationary object off the road	30	1.4%
Multiple collision	27	1.2%
Collision while turning	6	0.3%
Other values (4)	9	0.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
collision	1571	29.4%
perpendicular	991	18.6%
person	391	7.3%
run	391	7.3%
over	391	7.3%
rear	356	6.7%
side	150	2.8%
object	134	2.5%
the	134	2.5%
hitting	134	2.5%
Other values (14)	696	13.0%

Most occurring characters

Value	Count	Frequency (%)
i	4912	11.3%
o	4647	10.7%
l	4244	9.8%
r	3970	9.1%
n	3800	8.8%
e	3760	8.7%
	3164	7.3%
c	2773	6.4%
s	2094	4.8%
a	1996	4.6%
Other values (23)	8055	18.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38147	87.9%
Space Separator	3164	7.3%
Uppercase Letter	2102	4.8%
Open Punctuation	1	< 0.1%
Close Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
i	4912	12.9%
o	4647	12.2%
l	4244	11.1%
r	3970	10.4%
n	3800	10.0%
e	3760	9.9%
c	2773	7.3%
s	2094	5.5%
a	1996	5.2%
u	1415	3.7%
Other values (12)	4536	11.9%

Value	Count	Frequency (%)
P	1382	65.7%
R	397	18.9%
S	150	7.1%
H	134	6.4%
M	27	1.3%
C	6	0.3%
F	5	0.2%
O	1	< 0.1%

Value	Count	Frequency (%)
	3164	100.0%

Value	Count	Frequency (%)
(	1	100.0%

Value	Count	Frequency (%)
)	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	40249	92.7%
Common	3166	7.3%

Most frequent character per script

Value	Count	Frequency (%)
i	4912	12.2%
o	4647	11.5%
l	4244	10.5%
r	3970	9.9%
n	3800	9.4%
e	3760	9.3%
c	2773	6.9%
s	2094	5.2%
a	1996	5.0%
u	1415	3.5%
Other values (20)	6638	16.5%

Value	Count	Frequency (%)
	3164	99.9%
(	1	< 0.1%
)	1	< 0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	43415	100.0%

Most frequent character per block

Value	Count	Frequency (%)
i	4912	11.3%
o	4647	10.7%
l	4244	9.8%
r	3970	9.1%
n	3800	8.8%
e	3760	8.7%
	3164	7.3%
c	2773	6.4%
s	2094	4.8%
a	1996	4.6%
Other values (23)	8055	18.6%

Nationalities
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	64
Distinct (%)	2.9%
Missing	0
Missing (%)	0.0%
Memory size	134.5 KiB

UAE	445
India	325
Pakistan	205
Egypt	168
Bangladesh	158
Other values (59)	874

Length

Max length	37
Median length	5
Mean length	6.245057471
Min length	3

Characters and Unicode

Total characters	13583
Distinct characters	47
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	16 ?
Unique (%)	0.7%

Sample

1st row	Syria
2nd row	India
3rd row	UAE
4th row	Yemen
5th row	UAE

Value	Count	Frequency (%)
UAE	445	20.5%
India	325	14.9%
Pakistan	205	9.4%
Egypt	168	7.7%
Bangladesh	158	7.3%
Philippines	138	6.3%
Jordan	114	5.2%
Syria	87	4.0%
Palestine	73	3.4%
Yemen	36	1.7%
Other values (54)	426	19.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
uae	445	19.8%
india	325	14.4%
pakistan	205	9.1%
egypt	168	7.5%
bangladesh	158	7.0%
philippines	138	6.1%
jordan	114	5.1%
syria	87	3.9%
palestine	73	3.2%
yemen	36	1.6%
Other values (65)	503	22.3%

Most occurring characters

Value	Count	Frequency (%)
a	1835	13.5%
i	1366	10.1%
n	1343	9.9%
d	672	4.9%
e	654	4.8%
E	646	4.8%
s	626	4.6%
t	594	4.4%
p	513	3.8%
A	495	3.6%
Other values (37)	4839	35.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10338	76.1%
Uppercase Letter	3165	23.3%
Space Separator	79	0.6%
Other Punctuation	1	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	1835	17.8%
i	1366	13.2%
n	1343	13.0%
d	672	6.5%
e	654	6.3%
s	626	6.1%
t	594	5.7%
p	513	5.0%
l	460	4.4%
r	363	3.5%
Other values (14)	1912	18.5%

Value	Count	Frequency (%)
E	646	20.4%
A	495	15.6%
U	474	15.0%
P	417	13.2%
I	363	11.5%
S	204	6.4%
B	194	6.1%
J	116	3.7%
L	48	1.5%
N	37	1.2%
Other values (11)	171	5.4%

Value	Count	Frequency (%)
	79	100.0%

Value	Count	Frequency (%)
/	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13503	99.4%
Common	80	0.6%

Most frequent character per script

Value	Count	Frequency (%)
a	1835	13.6%
i	1366	10.1%
n	1343	9.9%
d	672	5.0%
e	654	4.8%
E	646	4.8%
s	626	4.6%
t	594	4.4%
p	513	3.8%
A	495	3.7%
Other values (35)	4759	35.2%

Value	Count	Frequency (%)
	79	98.8%
/	1	1.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13583	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	1835	13.5%
i	1366	10.1%
n	1343	9.9%
d	672	4.9%
e	654	4.8%
E	646	4.8%
s	626	4.6%
t	594	4.4%
p	513	3.8%
A	495	3.6%
Other values (37)	4839	35.6%

Seat Belt
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 KiB

False	1191
True	984

Common Values
Chart

Value	Count	Frequency (%)
False	1191	54.8%
True	984	45.2%

Injured person position
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	137.9 KiB

Driver	957
Passenger	820
Pedestrian	398

Length

Max length	10
Median length	9
Mean length	7.862988506
Min length	6

Characters and Unicode

Total characters	17102
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Passenger
2nd row	Passenger
3rd row	Passenger
4th row	Passenger
5th row	Passenger

Value	Count	Frequency (%)
Driver	957	44.0%
Passenger	820	37.7%
Pedestrian	398	18.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
driver	957	44.0%
passenger	820	37.7%
pedestrian	398	18.3%

Most occurring characters

Value	Count	Frequency (%)
e	3393	19.8%
r	3132	18.3%
s	2038	11.9%
i	1355	7.9%
P	1218	7.1%
a	1218	7.1%
n	1218	7.1%
D	957	5.6%
v	957	5.6%
g	820	4.8%
Other values (2)	796	4.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	14927	87.3%
Uppercase Letter	2175	12.7%

Most frequent character per category

Value	Count	Frequency (%)
e	3393	22.7%
r	3132	21.0%
s	2038	13.7%
i	1355	9.1%
a	1218	8.2%
n	1218	8.2%
v	957	6.4%
g	820	5.5%
d	398	2.7%
t	398	2.7%

Value	Count	Frequency (%)
P	1218	56.0%
D	957	44.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	17102	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	3393	19.8%
r	3132	18.3%
s	2038	11.9%
i	1355	7.9%
P	1218	7.1%
a	1218	7.1%
n	1218	7.1%
D	957	5.6%
v	957	5.6%
g	820	4.8%
Other values (2)	796	4.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17102	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	3393	19.8%
r	3132	18.3%
s	2038	11.9%
i	1355	7.9%
P	1218	7.1%
a	1218	7.1%
n	1218	7.1%
D	957	5.6%
v	957	5.6%
g	820	4.8%
Other values (2)	796	4.7%

Injured person's seat
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	153.5 KiB

Driver's seat	950
Back passenger seat	487
No passenger	400
Front passenger seat	324
bike passenger	14

Length

Max length	20
Median length	13
Mean length	15.20873563
Min length	12

Characters and Unicode

Total characters	33079
Distinct characters	20
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Front passenger seat
2nd row	Front passenger seat
3rd row	Front passenger seat
4th row	Front passenger seat
5th row	Back passenger seat

Value	Count	Frequency (%)
Driver's seat	950	43.7%
Back passenger seat	487	22.4%
No passenger	400	18.4%
Front passenger seat	324	14.9%
bike passenger	14	0.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
seat	1761	34.1%
passenger	1225	23.7%
driver's	950	18.4%
back	487	9.4%
no	400	7.8%
front	324	6.3%
bike	14	0.3%

Most occurring characters

Value	Count	Frequency (%)
e	5175	15.6%
s	5161	15.6%
a	3473	10.5%
r	3449	10.4%
	2986	9.0%
t	2085	6.3%
n	1549	4.7%
p	1225	3.7%
g	1225	3.7%
i	964	2.9%
Other values (10)	5787	17.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	26982	81.6%
Space Separator	2986	9.0%
Uppercase Letter	2161	6.5%
Other Punctuation	950	2.9%

Most frequent character per category

Value	Count	Frequency (%)
e	5175	19.2%
s	5161	19.1%
a	3473	12.9%
r	3449	12.8%
t	2085	7.7%
n	1549	5.7%
p	1225	4.5%
g	1225	4.5%
i	964	3.6%
v	950	3.5%
Other values (4)	1726	6.4%

Value	Count	Frequency (%)
D	950	44.0%
B	487	22.5%
N	400	18.5%
F	324	15.0%

Value	Count	Frequency (%)
	2986	100.0%

Value	Count	Frequency (%)
'	950	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	29143	88.1%
Common	3936	11.9%

Most frequent character per script

Value	Count	Frequency (%)
e	5175	17.8%
s	5161	17.7%
a	3473	11.9%
r	3449	11.8%
t	2085	7.2%
n	1549	5.3%
p	1225	4.2%
g	1225	4.2%
i	964	3.3%
D	950	3.3%
Other values (8)	3887	13.3%

Value	Count	Frequency (%)
	2986	75.9%
'	950	24.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	33079	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	5175	15.6%
s	5161	15.6%
a	3473	10.5%
r	3449	10.4%
	2986	9.0%
t	2085	6.3%
n	1549	4.7%
p	1225	3.7%
g	1225	3.7%
i	964	2.9%
Other values (10)	5787	17.5%

Degree of the injury
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	133.9 KiB

Minor	1289
Moderate	661
Severe	154
Death	71

Length

Max length	8
Median length	5
Mean length	5.982528736
Min length	5

Characters and Unicode

Total characters	13012
Distinct characters	13
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Minor
2nd row	Minor
3rd row	Severe
4th row	Minor
5th row	Moderate

Value	Count	Frequency (%)
Minor	1289	59.3%
Moderate	661	30.4%
Severe	154	7.1%
Death	71	3.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
minor	1289	59.3%
moderate	661	30.4%
severe	154	7.1%
death	71	3.3%

Most occurring characters

Value	Count	Frequency (%)
r	2104	16.2%
M	1950	15.0%
o	1950	15.0%
e	1855	14.3%
i	1289	9.9%
n	1289	9.9%
a	732	5.6%
t	732	5.6%
d	661	5.1%
S	154	1.2%
Other values (3)	296	2.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	10837	83.3%
Uppercase Letter	2175	16.7%

Most frequent character per category

Value	Count	Frequency (%)
r	2104	19.4%
o	1950	18.0%
e	1855	17.1%
i	1289	11.9%
n	1289	11.9%
a	732	6.8%
t	732	6.8%
d	661	6.1%
v	154	1.4%
h	71	0.7%

Value	Count	Frequency (%)
M	1950	89.7%
S	154	7.1%
D	71	3.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	13012	100.0%

Most frequent character per script

Value	Count	Frequency (%)
r	2104	16.2%
M	1950	15.0%
o	1950	15.0%
e	1855	14.3%
i	1289	9.9%
n	1289	9.9%
a	732	5.6%
t	732	5.6%
d	661	5.1%
S	154	1.2%
Other values (3)	296	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	13012	100.0%

Most frequent character per block

Value	Count	Frequency (%)
r	2104	16.2%
M	1950	15.0%
o	1950	15.0%
e	1855	14.3%
i	1289	9.9%
n	1289	9.9%
a	732	5.6%
t	732	5.6%
d	661	5.1%
S	154	1.2%
Other values (3)	296	2.3%

Age of the injured
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	78
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.30344828
Minimum	0
Maximum	602
Zeros	6
Zeros (%)	0.3%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	24
median	31
Q3	41
95-th percentile	58
Maximum	602
Range	602
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	18.79886425
Coefficient of variation (CV)	0.581946054
Kurtosis	387.0328927
Mean	32.30344828
Median Absolute Deviation (MAD)	8
Skewness	12.88275432
Sum	70260
Variance	353.3972972
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	90	4.1%
26	87	4.0%
31	78	3.6%
29	76	3.5%
28	76	3.5%
30	73	3.4%
33	73	3.4%
25	72	3.3%
24	71	3.3%
23	65	3.0%
Other values (68)	1414	65.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.3%
1	16	0.7%
2	14	0.6%
3	16	0.7%
4	17	0.8%
5	22	1.0%
6	16	0.7%
7	12	0.6%
8	26	1.2%
9	16	0.7%

Value	Count	Frequency (%)
602	1	< 0.1%
85	1	< 0.1%
75	1	< 0.1%
74	3	0.1%
73	1	< 0.1%
72	1	< 0.1%
71	2	0.1%
70	1	< 0.1%
69	5	0.2%
68	2	0.1%

Gender
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.3 KiB

M	1475
F	700

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2175
Distinct characters	2
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	F
2nd row	M
3rd row	M
4th row	F
5th row	F

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
m	1475	67.8%
f	700	32.2%

Most occurring characters

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	2175	100.0%

Most frequent character per category

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	2175	100.0%

Most frequent character per script

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2175	100.0%

Most frequent character per block

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Gender of the injured
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	131.1 KiB

Male	1475
Female	700

Length

Max length	6
Median length	4
Mean length	4.643678161
Min length	4

Characters and Unicode

Total characters	10100
Distinct characters	6
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Female
2nd row	Male
3rd row	Male
4th row	Female
5th row	Female

Value	Count	Frequency (%)
Male	1475	67.8%
Female	700	32.2%

Histogram of lengths of the category

Value	Count	Frequency (%)
male	1475	67.8%
female	700	32.2%

Most occurring characters

Value	Count	Frequency (%)
e	2875	28.5%
a	2175	21.5%
l	2175	21.5%
M	1475	14.6%
F	700	6.9%
m	700	6.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	7925	78.5%
Uppercase Letter	2175	21.5%

Most frequent character per category

Value	Count	Frequency (%)
e	2875	36.3%
a	2175	27.4%
l	2175	27.4%
m	700	8.8%

Value	Count	Frequency (%)
M	1475	67.8%
F	700	32.2%

Most occurring scripts

Value	Count	Frequency (%)
Latin	10100	100.0%

Most frequent character per script

Value	Count	Frequency (%)
e	2875	28.5%
a	2175	21.5%
l	2175	21.5%
M	1475	14.6%
F	700	6.9%
m	700	6.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10100	100.0%

Most frequent character per block

Value	Count	Frequency (%)
e	2875	28.5%
a	2175	21.5%
l	2175	21.5%
M	1475	14.6%
F	700	6.9%
m	700	6.9%

Inp Age
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	78
Distinct (%)	3.6%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	32.30344828
Minimum	0
Maximum	602
Zeros	6
Zeros (%)	0.3%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	7
Q1	24
median	31
Q3	41
95-th percentile	58
Maximum	602
Range	602
Interquartile range (IQR)	17

Descriptive statistics

Standard deviation	18.79886425
Coefficient of variation (CV)	0.581946054
Kurtosis	387.0328927
Mean	32.30344828
Median Absolute Deviation (MAD)	8
Skewness	12.88275432
Sum	70260
Variance	353.3972972
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
27	90	4.1%
26	87	4.0%
31	78	3.6%
29	76	3.5%
28	76	3.5%
30	73	3.4%
33	73	3.4%
25	72	3.3%
24	71	3.3%
23	65	3.0%
Other values (68)	1414	65.0%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	6	0.3%
1	16	0.7%
2	14	0.6%
3	16	0.7%
4	17	0.8%
5	22	1.0%
6	16	0.7%
7	12	0.6%
8	26	1.2%
9	16	0.7%

Value	Count	Frequency (%)
602	1	< 0.1%
85	1	< 0.1%
75	1	< 0.1%
74	3	0.1%
73	1	< 0.1%
72	1	< 0.1%
71	2	0.1%
70	1	< 0.1%
69	5	0.2%
68	2	0.1%

Age Group
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	150.2 KiB

18 to 30 years	809
31 to 45 years	705
46 to 60 years	334
8 to 17 years	146
1 to 7 years	113
Other values (2)	68

Length

Max length	14
Median length	14
Mean length	13.64689655
Min length	8

Characters and Unicode

Total characters	29682
Distinct characters	24
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	46 to 60 years
2nd row	46 to 60 years
3rd row	31 to 45 years
4th row	31 to 45 years
5th row	31 to 45 years

Value	Count	Frequency (%)
18 to 30 years	809	37.2%
31 to 45 years	705	32.4%
46 to 60 years	334	15.4%
8 to 17 years	146	6.7%
1 to 7 years	113	5.2%
Above 60	62	2.9%
Undefined	6	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
to	2107	24.6%
years	2107	24.6%
30	809	9.5%
18	809	9.5%
31	705	8.2%
45	705	8.2%
60	396	4.6%
46	334	3.9%
8	146	1.7%
17	146	1.7%
Other values (4)	294	3.4%

Most occurring characters

Value	Count	Frequency (%)
	6389	21.5%
e	2181	7.3%
o	2169	7.3%
t	2107	7.1%
y	2107	7.1%
a	2107	7.1%
r	2107	7.1%
s	2107	7.1%
1	1773	6.0%
3	1514	5.1%
Other values (14)	5121	17.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15045	50.7%
Decimal Number	8180	27.6%
Space Separator	6389	21.5%
Uppercase Letter	68	0.2%

Most frequent character per category

Value	Count	Frequency (%)
e	2181	14.5%
o	2169	14.4%
t	2107	14.0%
y	2107	14.0%
a	2107	14.0%
r	2107	14.0%
s	2107	14.0%
b	62	0.4%
v	62	0.4%
n	12	0.1%
Other values (3)	24	0.2%

Value	Count	Frequency (%)
1	1773	21.7%
3	1514	18.5%
0	1205	14.7%
4	1039	12.7%
8	955	11.7%
6	730	8.9%
5	705	8.6%
7	259	3.2%

Value	Count	Frequency (%)
A	62	91.2%
U	6	8.8%

Value	Count	Frequency (%)
	6389	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15113	50.9%
Common	14569	49.1%

Most frequent character per script

Value	Count	Frequency (%)
e	2181	14.4%
o	2169	14.4%
t	2107	13.9%
y	2107	13.9%
a	2107	13.9%
r	2107	13.9%
s	2107	13.9%
A	62	0.4%
b	62	0.4%
v	62	0.4%
Other values (5)	42	0.3%

Value	Count	Frequency (%)
	6389	43.9%
1	1773	12.2%
3	1514	10.4%
0	1205	8.3%
4	1039	7.1%
8	955	6.6%
6	730	5.0%
5	705	4.8%
7	259	1.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	29682	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	6389	21.5%
e	2181	7.3%
o	2169	7.3%
t	2107	7.1%
y	2107	7.1%
a	2107	7.1%
r	2107	7.1%
s	2107	7.1%
1	1773	6.0%
3	1514	5.1%
Other values (14)	5121	17.3%

Date - Month
Categorical

HIGH CORRELATION

Distinct	12
Distinct (%)	0.6%
Missing	0
Missing (%)	0.0%
Memory size	127.6 KiB

Mar	264
Jan	236
Apr	209
May	200
Feb	190
Other values (7)	1076

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	6525
Distinct characters	22
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Jan
2nd row	Jan
3rd row	Jan
4th row	Jan
5th row	Jan

Value	Count	Frequency (%)
Mar	264	12.1%
Jan	236	10.9%
Apr	209	9.6%
May	200	9.2%
Feb	190	8.7%
Jun	188	8.6%
Aug	158	7.3%
Dec	154	7.1%
Sep	153	7.0%
Oct	149	6.9%
Other values (2)	274	12.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
mar	264	12.1%
jan	236	10.9%
apr	209	9.6%
may	200	9.2%
feb	190	8.7%
jun	188	8.6%
aug	158	7.3%
dec	154	7.1%
sep	153	7.0%
oct	149	6.9%
Other values (2)	274	12.6%

Most occurring characters

Value	Count	Frequency (%)
a	700	10.7%
J	549	8.4%
e	497	7.6%
r	473	7.2%
u	471	7.2%
M	464	7.1%
n	424	6.5%
A	367	5.6%
p	362	5.5%
c	303	4.6%
Other values (12)	1915	29.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	4350	66.7%
Uppercase Letter	2175	33.3%

Most frequent character per category

Value	Count	Frequency (%)
a	700	16.1%
e	497	11.4%
r	473	10.9%
u	471	10.8%
n	424	9.7%
p	362	8.3%
c	303	7.0%
y	200	4.6%
b	190	4.4%
g	158	3.6%
Other values (4)	572	13.1%

Value	Count	Frequency (%)
J	549	25.2%
M	464	21.3%
A	367	16.9%
F	190	8.7%
D	154	7.1%
S	153	7.0%
O	149	6.9%
N	149	6.9%

Most occurring scripts

Value	Count	Frequency (%)
Latin	6525	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	700	10.7%
J	549	8.4%
e	497	7.6%
r	473	7.2%
u	471	7.2%
M	464	7.1%
n	424	6.5%
A	367	5.6%
p	362	5.5%
c	303	4.6%
Other values (12)	1915	29.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	6525	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	700	10.7%
J	549	8.4%
e	497	7.6%
r	473	7.2%
u	471	7.2%
M	464	7.1%
n	424	6.5%
A	367	5.6%
p	362	5.5%
c	303	4.6%
Other values (12)	1915	29.3%

Nationality of the Injured person
Categorical

HIGH CORRELATION

Distinct	5
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	140.2 KiB

Asian States	877
Arab States	578
UAE	445
Other	210
GCC	65

Length

Max length	12
Median length	11
Mean length	8.948045977
Min length	3

Characters and Unicode

Total characters	19462
Distinct characters	17
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Arab States
2nd row	Asian States
3rd row	UAE
4th row	GCC
5th row	UAE

Value	Count	Frequency (%)
Asian States	877	40.3%
Arab States	578	26.6%
UAE	445	20.5%
Other	210	9.7%
GCC	65	3.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
states	1455	40.1%
asian	877	24.2%
arab	578	15.9%
uae	445	12.3%
other	210	5.8%
gcc	65	1.8%

Most occurring characters

Value	Count	Frequency (%)
t	3120	16.0%
a	2910	15.0%
s	2332	12.0%
A	1900	9.8%
e	1665	8.6%
	1455	7.5%
S	1455	7.5%
i	877	4.5%
n	877	4.5%
r	788	4.0%
Other values (7)	2083	10.7%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13357	68.6%
Uppercase Letter	4650	23.9%
Space Separator	1455	7.5%

Most frequent character per category

Value	Count	Frequency (%)
t	3120	23.4%
a	2910	21.8%
s	2332	17.5%
e	1665	12.5%
i	877	6.6%
n	877	6.6%
r	788	5.9%
b	578	4.3%
h	210	1.6%

Value	Count	Frequency (%)
A	1900	40.9%
S	1455	31.3%
U	445	9.6%
E	445	9.6%
O	210	4.5%
C	130	2.8%
G	65	1.4%

Value	Count	Frequency (%)
	1455	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	18007	92.5%
Common	1455	7.5%

Most frequent character per script

Value	Count	Frequency (%)
t	3120	17.3%
a	2910	16.2%
s	2332	13.0%
A	1900	10.6%
e	1665	9.2%
S	1455	8.1%
i	877	4.9%
n	877	4.9%
r	788	4.4%
b	578	3.2%
Other values (6)	1505	8.4%

Value	Count	Frequency (%)
	1455	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	19462	100.0%

Most frequent character per block

Value	Count	Frequency (%)
t	3120	16.0%
a	2910	15.0%
s	2332	12.0%
A	1900	9.8%
e	1665	8.6%
	1455	7.5%
S	1455	7.5%
i	877	4.5%
n	877	4.5%
r	788	4.0%
Other values (7)	2083	10.7%

Day.1
Categorical

HIGH CORRELATION

Distinct	7
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	136.3 KiB

Sunday	333
Monday	331
Thursday	323
Saturday	320
Friday	310
Other values (2)	558

Length

Max length	9
Median length	7
Mean length	7.123678161
Min length	6

Characters and Unicode

Total characters	15494
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Saturday
2nd row	Saturday
3rd row	Saturday
4th row	Saturday
5th row	Saturday

Value	Count	Frequency (%)
Sunday	333	15.3%
Monday	331	15.2%
Thursday	323	14.9%
Saturday	320	14.7%
Friday	310	14.3%
Wednesday	300	13.8%
Tuesday	258	11.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
sunday	333	15.3%
monday	331	15.2%
thursday	323	14.9%
saturday	320	14.7%
friday	310	14.3%
wednesday	300	13.8%
tuesday	258	11.9%

Most occurring characters

Value	Count	Frequency (%)
a	2495	16.1%
d	2475	16.0%
y	2175	14.0%
u	1234	8.0%
n	964	6.2%
r	953	6.2%
s	881	5.7%
e	858	5.5%
S	653	4.2%
T	581	3.7%
Other values (7)	2225	14.4%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13319	86.0%
Uppercase Letter	2175	14.0%

Most frequent character per category

Value	Count	Frequency (%)
a	2495	18.7%
d	2475	18.6%
y	2175	16.3%
u	1234	9.3%
n	964	7.2%
r	953	7.2%
s	881	6.6%
e	858	6.4%
o	331	2.5%
h	323	2.4%
Other values (2)	630	4.7%

Value	Count	Frequency (%)
S	653	30.0%
T	581	26.7%
M	331	15.2%
F	310	14.3%
W	300	13.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15494	100.0%

Most frequent character per script

Value	Count	Frequency (%)
a	2495	16.1%
d	2475	16.0%
y	2175	14.0%
u	1234	8.0%
n	964	6.2%
r	953	6.2%
s	881	5.7%
e	858	5.5%
S	653	4.2%
T	581	3.7%
Other values (7)	2225	14.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15494	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	2495	16.1%
d	2475	16.0%
y	2175	14.0%
u	1234	8.0%
n	964	6.2%
r	953	6.2%
s	881	5.7%
e	858	5.5%
S	653	4.2%
T	581	3.7%
Other values (7)	2225	14.4%

Iac Rep Time
Categorical

HIGH CARDINALITY

Distinct	535
Distinct (%)	24.6%
Missing	0
Missing (%)	0.0%
Memory size	131.1 KiB

15:00	41
5:30	23
7:00	22
11:00	20
17:30	20
Other values (530)	2049

Length

Max length	5
Median length	5
Mean length	4.662068966
Min length	4

Characters and Unicode

Total characters	10140
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	187 ?
Unique (%)	8.6%

Sample

1st row	0:00
2nd row	0:35
3rd row	4:20
4th row	16:19
5th row	22:27

Value	Count	Frequency (%)
15:00	41	1.9%
5:30	23	1.1%
7:00	22	1.0%
11:00	20	0.9%
17:30	20	0.9%
16:30	20	0.9%
22:00	19	0.9%
21:30	19	0.9%
22:15	18	0.8%
19:30	18	0.8%
Other values (525)	1955	89.9%

Histogram of lengths of the category

Value	Count	Frequency (%)
15:00	41	1.9%
5:30	23	1.1%
7:00	22	1.0%
11:00	20	0.9%
17:30	20	0.9%
16:30	20	0.9%
22:00	19	0.9%
21:30	19	0.9%
22:15	18	0.8%
19:30	18	0.8%
Other values (525)	1955	89.9%

Most occurring characters

Value	Count	Frequency (%)
:	2175	21.4%
0	1807	17.8%
1	1745	17.2%
2	1089	10.7%
5	1055	10.4%
3	749	7.4%
4	498	4.9%
7	278	2.7%
8	263	2.6%
9	252	2.5%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	7965	78.6%
Other Punctuation	2175	21.4%

Most frequent character per category

Value	Count	Frequency (%)
0	1807	22.7%
1	1745	21.9%
2	1089	13.7%
5	1055	13.2%
3	749	9.4%
4	498	6.3%
7	278	3.5%
8	263	3.3%
9	252	3.2%
6	229	2.9%

Value	Count	Frequency (%)
:	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	10140	100.0%

Most frequent character per script

Value	Count	Frequency (%)
:	2175	21.4%
0	1807	17.8%
1	1745	17.2%
2	1089	10.7%
5	1055	10.4%
3	749	7.4%
4	498	4.9%
7	278	2.7%
8	263	2.6%
9	252	2.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	10140	100.0%

Most frequent character per block

Value	Count	Frequency (%)
:	2175	21.4%
0	1807	17.8%
1	1745	17.2%
2	1089	10.7%
5	1055	10.4%
3	749	7.4%
4	498	4.9%
7	278	2.7%
8	263	2.6%
9	252	2.5%

Time
Categorical

HIGH CORRELATION

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	125.4 KiB

PM	1639
AM	536

Length

Max length	2
Median length	2
Mean length	2
Min length	2

Characters and Unicode

Total characters	4350
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	PM
2nd row	PM
3rd row	PM
4th row	PM
5th row	PM

Value	Count	Frequency (%)
PM	1639	75.4%
AM	536	24.6%

Histogram of lengths of the category

Value	Count	Frequency (%)
pm	1639	75.4%
am	536	24.6%

Most occurring characters

Value	Count	Frequency (%)
M	2175	50.0%
P	1639	37.7%
A	536	12.3%

Most occurring categories

Value	Count	Frequency (%)
Uppercase Letter	4350	100.0%

Most frequent character per category

Value	Count	Frequency (%)
M	2175	50.0%
P	1639	37.7%
A	536	12.3%

Most occurring scripts

Value	Count	Frequency (%)
Latin	4350	100.0%

Most frequent character per script

Value	Count	Frequency (%)
M	2175	50.0%
P	1639	37.7%
A	536	12.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4350	100.0%

Most frequent character per block

Value	Count	Frequency (%)
M	2175	50.0%
P	1639	37.7%
A	536	12.3%

Age Group - Ministry
Categorical

HIGH CORRELATION

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Memory size	150.5 KiB

18 to 30 years	809
31 to 45 years	705
46 to 60 years	334
Below 18 years	259
Above 60	62

Length

Max length	14
Median length	14
Mean length	13.81517241
Min length	8

Characters and Unicode

Total characters	30048
Distinct characters	26
Distinct categories	4 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	46 to 60 years
2nd row	46 to 60 years
3rd row	31 to 45 years
4th row	31 to 45 years
5th row	31 to 45 years

Value	Count	Frequency (%)
18 to 30 years	809	37.2%
31 to 45 years	705	32.4%
46 to 60 years	334	15.4%
Below 18 years	259	11.9%
Above 60	62	2.9%
Undefined	6	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
years	2107	25.4%
to	1848	22.3%
18	1068	12.9%
30	809	9.7%
31	705	8.5%
45	705	8.5%
60	396	4.8%
46	334	4.0%
below	259	3.1%
above	62	0.7%

Most occurring characters

Value	Count	Frequency (%)
	6124	20.4%
e	2440	8.1%
o	2169	7.2%
y	2107	7.0%
a	2107	7.0%
r	2107	7.0%
s	2107	7.0%
t	1848	6.2%
1	1773	5.9%
3	1514	5.0%
Other values (16)	5752	19.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15563	51.8%
Decimal Number	8034	26.7%
Space Separator	6124	20.4%
Uppercase Letter	327	1.1%

Most frequent character per category

Value	Count	Frequency (%)
e	2440	15.7%
o	2169	13.9%
y	2107	13.5%
a	2107	13.5%
r	2107	13.5%
s	2107	13.5%
t	1848	11.9%
l	259	1.7%
w	259	1.7%
b	62	0.4%
Other values (5)	98	0.6%

Value	Count	Frequency (%)
1	1773	22.1%
3	1514	18.8%
0	1205	15.0%
8	1068	13.3%
4	1039	12.9%
6	730	9.1%
5	705	8.8%

Value	Count	Frequency (%)
B	259	79.2%
A	62	19.0%
U	6	1.8%

Value	Count	Frequency (%)
	6124	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15890	52.9%
Common	14158	47.1%

Most frequent character per script

Value	Count	Frequency (%)
e	2440	15.4%
o	2169	13.7%
y	2107	13.3%
a	2107	13.3%
r	2107	13.3%
s	2107	13.3%
t	1848	11.6%
B	259	1.6%
l	259	1.6%
w	259	1.6%
Other values (8)	228	1.4%

Value	Count	Frequency (%)
	6124	43.3%
1	1773	12.5%
3	1514	10.7%
0	1205	8.5%
8	1068	7.5%
4	1039	7.3%
6	730	5.2%
5	705	5.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	30048	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	6124	20.4%
e	2440	8.1%
o	2169	7.2%
y	2107	7.0%
a	2107	7.0%
r	2107	7.0%
s	2107	7.0%
t	1848	6.2%
1	1773	5.9%
3	1514	5.0%
Other values (16)	5752	19.1%

Computed2
Categorical

CONSTANT
HIGH CORRELATION
REJECTED

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	123.3 KiB

1	2175

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	2175
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	1
4th row	1
5th row	1

Value	Count	Frequency (%)
1	2175	100.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring characters

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	2175	100.0%

Most frequent character per category

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	2175	100.0%

Most frequent character per script

Value	Count	Frequency (%)
1	2175	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	2175	100.0%

Most frequent character per block

Value	Count	Frequency (%)
1	2175	100.0%

Area
Categorical

HIGH CORRELATION

Distinct	39
Distinct (%)	1.8%
Missing	0
Missing (%)	0.0%
Memory size	144.9 KiB

Mushrif	307
Markaziya	223
Hadbat Al Zafaran	219
Al Butain	157
Madinat Zayed (Abu Dhabi)	149
Other values (34)	1120

Length

Max length	29
Median length	9
Mean length	11.18344828
Min length	4

Characters and Unicode

Total characters	24324
Distinct characters	47
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.2%

Sample

1st row	Mushrif
2nd row	Al Wahda
3rd row	Mina
4th row	Mushrif
5th row	Mushrif

Value	Count	Frequency (%)
Mushrif	307	14.1%
Markaziya	223	10.3%
Hadbat Al Zafaran	219	10.1%
Al Butain	157	7.2%
Madinat Zayed (Abu Dhabi)	149	6.9%
Mina	126	5.8%
Khaldiya	125	5.7%
Rawdah	100	4.6%
Dhafra (Abu Dhabi)	94	4.3%
Al Wahda	92	4.2%
Other values (29)	583	26.8%

Histogram of lengths of the category

Value	Count	Frequency (%)
al	656	16.1%
markaziya	310	7.6%
mushrif	307	7.6%
abu	243	6.0%
dhabi	243	6.0%
zafaran	219	5.4%
hadbat	219	5.4%
butain	157	3.9%
zayed	154	3.8%
madinat	149	3.7%
Other values (41)	1406	34.6%

Most occurring characters

Value	Count	Frequency (%)
a	4572	18.8%
	1888	7.8%
i	1745	7.2%
r	1479	6.1%
h	1226	5.0%
d	1043	4.3%
A	981	4.0%
M	954	3.9%
t	858	3.5%
l	843	3.5%
Other values (37)	8735	35.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	17715	72.8%
Uppercase Letter	4062	16.7%
Space Separator	1888	7.8%
Open Punctuation	328	1.3%
Close Punctuation	328	1.3%
Other Punctuation	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
a	4572	25.8%
i	1745	9.9%
r	1479	8.3%
h	1226	6.9%
d	1043	5.9%
t	858	4.8%
l	843	4.8%
n	829	4.7%
b	820	4.6%
f	738	4.2%
Other values (14)	3562	20.1%

Value	Count	Frequency (%)
A	981	24.2%
M	954	23.5%
Z	373	9.2%
D	337	8.3%
H	268	6.6%
B	268	6.6%
K	188	4.6%
R	119	2.9%
S	99	2.4%
G	93	2.3%
Other values (9)	382	9.4%

Value	Count	Frequency (%)
	1888	100.0%

Value	Count	Frequency (%)
(	328	100.0%

Value	Count	Frequency (%)
)	328	100.0%

Value	Count	Frequency (%)
'	3	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	21777	89.5%
Common	2547	10.5%

Most frequent character per script

Value	Count	Frequency (%)
a	4572	21.0%
i	1745	8.0%
r	1479	6.8%
h	1226	5.6%
d	1043	4.8%
A	981	4.5%
M	954	4.4%
t	858	3.9%
l	843	3.9%
n	829	3.8%
Other values (33)	7247	33.3%

Value	Count	Frequency (%)
	1888	74.1%
(	328	12.9%
)	328	12.9%
'	3	0.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	24324	100.0%

Most frequent character per block

Value	Count	Frequency (%)
a	4572	18.8%
	1888	7.8%
i	1745	7.2%
r	1479	6.1%
h	1226	5.0%
d	1043	4.3%
A	981	4.0%
M	954	3.9%
t	858	3.5%
l	843	3.5%
Other values (37)	8735	35.9%

Block
Categorical

HIGH CARDINALITY
HIGH CORRELATION

Distinct	94
Distinct (%)	4.3%
Missing	0
Missing (%)	0.0%
Memory size	142.9 KiB

Not Identified	100
Block 54-1	90
Block 73-2	70
Block 53-1	62
Block 40-1	59
Other values (89)	1794

Length

Max length	19
Median length	10
Mean length	10.23402299
Min length	10

Characters and Unicode

Total characters	22259
Distinct characters	31
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	3 ?
Unique (%)	0.1%

Sample

1st row	Block 23-2
2nd row	Block 17-1
3rd row	Block 73-1
4th row	Block 24-2
5th row	Block 38-2

Value	Count	Frequency (%)
Not Identified	100	4.6%
Block 54-1	90	4.1%
Block 73-2	70	3.2%
Block 53-1	62	2.9%
Block 40-1	59	2.7%
Block 53-2	55	2.5%
Block 17-1	54	2.5%
Block 27-1	52	2.4%
Block 74-2	51	2.3%
Block 51-1	50	2.3%
Other values (84)	1532	70.4%

Histogram of lengths of the category

Value	Count	Frequency (%)
block	2049	47.1%
identified	125	2.9%
not	125	2.9%
54-1	90	2.1%
73-2	70	1.6%
53-1	62	1.4%
40-1	59	1.4%
53-2	55	1.3%
17-1	54	1.2%
27-1	52	1.2%
Other values (87)	1610	37.0%

Most occurring characters

Value	Count	Frequency (%)
	2176	9.8%
o	2174	9.8%
k	2050	9.2%
B	2049	9.2%
l	2049	9.2%
c	2049	9.2%
-	2049	9.2%
1	1630	7.3%
2	1526	6.9%
5	720	3.2%
Other values (21)	3787	17.0%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	9610	43.2%
Decimal Number	6147	27.6%
Uppercase Letter	2277	10.2%
Space Separator	2176	9.8%
Dash Punctuation	2049	9.2%

Most frequent character per category

Value	Count	Frequency (%)
o	2174	22.6%
k	2050	21.3%
l	2049	21.3%
c	2049	21.3%
i	276	2.9%
e	254	2.6%
t	252	2.6%
d	251	2.6%
n	125	1.3%
f	125	1.3%
Other values (4)	5	0.1%

Value	Count	Frequency (%)
1	1630	26.5%
2	1526	24.8%
5	720	11.7%
3	596	9.7%
7	526	8.6%
4	500	8.1%
9	256	4.2%
6	153	2.5%
8	123	2.0%
0	117	1.9%

Value	Count	Frequency (%)
B	2049	90.0%
N	125	5.5%
I	100	4.4%
S	2	0.1%
Z	1	< 0.1%

Value	Count	Frequency (%)
	2176	100.0%

Value	Count	Frequency (%)
-	2049	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	11887	53.4%
Common	10372	46.6%

Most frequent character per script

Value	Count	Frequency (%)
o	2174	18.3%
k	2050	17.2%
B	2049	17.2%
l	2049	17.2%
c	2049	17.2%
i	276	2.3%
e	254	2.1%
t	252	2.1%
d	251	2.1%
N	125	1.1%
Other values (9)	358	3.0%

Value	Count	Frequency (%)
	2176	21.0%
-	2049	19.8%
1	1630	15.7%
2	1526	14.7%
5	720	6.9%
3	596	5.7%
7	526	5.1%
4	500	4.8%
9	256	2.5%
6	153	1.5%
Other values (2)	240	2.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	22259	100.0%

Most frequent character per block

Value	Count	Frequency (%)
	2176	9.8%
o	2174	9.8%
k	2050	9.2%
B	2049	9.2%
l	2049	9.2%
c	2049	9.2%
-	2049	9.2%
1	1630	7.3%
2	1526	6.9%
5	720	3.2%
Other values (21)	3787	17.0%

Str Code
Real number (ℝ_≥0)

Distinct	129
Distinct (%)	5.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	84.87356322
Minimum	0
Maximum	935
Zeros	8
Zeros (%)	0.4%
Memory size	17.1 KiB

Quantile statistics

Minimum	0
5-th percentile	13
Q1	16
median	90
Q3	150
95-th percentile	187
Maximum	935
Range	935
Interquartile range (IQR)	134

Descriptive statistics

Standard deviation	72.91067183
Coefficient of variation (CV)	0.8590504401
Kurtosis	16.90893203
Mean	84.87356322
Median Absolute Deviation (MAD)	71
Skewness	1.855592174
Sum	184600
Variance	5315.966067
Monotocity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
13	157	7.2%
16	144	6.6%
14	137	6.3%
12	94	4.3%
29	65	3.0%
25	63	2.9%
24	50	2.3%
174	50	2.3%
186	45	2.1%
26	45	2.1%
Other values (119)	1325	60.9%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
0	8	0.4%
12	94	4.3%
13	157	7.2%
14	137	6.3%
15	20	0.9%
16	144	6.6%
17	23	1.1%
18	22	1.0%
19	31	1.4%
20	14	0.6%

Value	Count	Frequency (%)
935	2	0.1%
667	1	< 0.1%
197	1	< 0.1%
194	1	< 0.1%
193	1	< 0.1%
191	3	0.1%
190	8	0.4%
189	31	1.4%
188	37	1.7%
187	26	1.2%

Accident Description
Categorical

HIGH CARDINALITY
UNIFORM

Distinct	2061
Distinct (%)	94.8%
Missing	0
Missing (%)	0.0%
Memory size	1.6 MiB

After examining and inspecting the accident's site, the following was revealed:- the vehicles were travelling from the west to the east taking the second lane from the right. The vehicle that caused the accident didn’t keep a distance from the front vehicle and collided from the front side with the back side of the first afflicted vehicle. Leading the latter to collide from the front side with back side of the second afflicted vehicle and then leading the second to collide from the front side with back side of the third afflicted vehicle. as a result, the passenger of the former vehicle was injured and material damagers were caused to the vehicles. As shown in the diagram.	10
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from south to the north taking the right lane. The other afflicted vehicles were travelling to the same direction while taking different lanes. When the afflicted vehicles reach the crossroads they stopped waiting in the traffic. The former violated the traffic rules and was speeding when he crashed into the side-walk and the wall then drifted and collided with the back side of the first afflicted vehicle and as response it crashed with the back side of the second afflicted then sequentially from the sides and the front colliding with the next vehicle then the one after. as a result, ten people were injured from amongst drivers and passengers. They all received medical treatment and two of them were severely injured and were to admitted to the hospital. Material damages were caused to the vehicles and the state's properties. As shown in the diagram.	10
After examining and inspecting the accident's site, the following was revealed: the first vehicle that caused the accident was travelling from east to the west taking the second lane from the right. The second, the third and the forth were travelling to the same direction. The first vehicle suddenly stopped beside the Exhibitions Ground. Because The second vehicle was behind the first and wasn’t leave a space, it collided from the front side with the back side of the first vehicle. Then the second collided with the third. then sequentially, the third with the forth. Leading the third to drift to left and to collided from the left side with the front side of the afflicted vehicle(truck). The afflicted vehicle kept on going till it collided from the left side with the right side of the first vehicle, leading the latter to drift and roll-over in the middle of the road. The afflicted vehicle kept on going foreword and met the the forth vehicle halfway and collided from right side with left side of the forth. And they all stopped in the right side lane. as a result, the drivers of the first, second and third vehicles and the passengers were injured. As shown in the diagram.	8
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the west to the east, driving to the middle lane and running the red light . while taking a left turn to the cross-road, the right front side of the vehicle collided with the front side of the first afflicted vehicle, which was travelling from the east to the west taking the right lane, Causing the former vehicle to to spin to the left side and collide from the front side with the second afflicted vehicle which was waiting for the green light on the right lane. resulting in the death of the passenger in the vehicle that caused the accident, severe and moderate injuries and material damages in all the vehicles. The Accident was diagrammed.	8
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the west to the north in the crossroads taking the left lane. The afflicted vehicle was travelling from the east to the west taking the middle lane. The former ran the red light and collided from the right side with the front side of the afflicted vehicle. As shown in the diagram.	6
Other values (2056)	2133

Length

Max length	1646
Median length	609
Mean length	634.8937931
Min length	86

Characters and Unicode

Total characters	1380894
Distinct characters	82
Distinct categories	13 ?
Distinct scripts	2 ?
Distinct blocks	3 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	2011 ?
Unique (%)	92.5%

Sample

1st row	3803. After detection and inspecting the accident site, the following accident chart became clear: While the causing vehicle was coming from the west towards the east and it would like to turn left, the lane is on the far left, the damaged vehicle is coming from the east towards the west and the lane is on the far right. In the case of moving forward, and because of bypassing the red light and driving drunk the causing vehicle was collided from the front right corner. The damaged vehicle is on the right side of the causing vehicle. The accident resulted in a female passenger being injured in the damaged vehicle, as well as material damage to both vehicles. The detection and necessary measures were taken.
2nd row	3804. After detection and inspection by the accident chart, the following is revealed: -The causing vehicle was coming from the west towards the east with the left lane line, the damaged vehicle was coming from the south towards the north with the right lane line, while the two vehicles were passing and because of bypassing the red traffic light by the offending driver hit the front of the damaged vehicle on the right side of the damaged vehicle, and accordingly the accident was charted.
3rd row	3805. After detection and inspecting the accident site, the following accident chart became clear: The causing vehicle was coming from the south to the north, and due to the driving in an abnormal state (drunkenness) by the offending driver, the vehicle deviated from the road and hit the front of the causing vehicle with a billboard column. The accident was charted and necessary action was taken.
4th row	3806. After detection and inspecting the accident site, it became clear that the following accident chart: - The causing vehicle is coming from the south to the north, heading to the west, the path is passed by the arrow, and the damaged vehicle is coming from the north to the south, on the right path. To bypass the red light by the causing vehicle, the front of the damaged vehicle collided with the right side of the causing vehicle. The accident was charted and the crisis was conducted.
5th row	3807. After detection and inspecting the accident site, the following accident chart became clear: During the rotation of the causing vehicle from the filter triangle, the driver of the causing vehicle could not control the causing vehicle, which led to hitting the front of the causing vehicle on the sidewalk leading to its rollover on its left side. The accident was charted and necessary action was taken.

Value	Count	Frequency (%)
After examining and inspecting the accident's site, the following was revealed:- the vehicles were travelling from the west to the east taking the second lane from the right. The vehicle that caused the accident didn’t keep a distance from the front vehicle and collided from the front side with the back side of the first afflicted vehicle. Leading the latter to collide from the front side with back side of the second afflicted vehicle and then leading the second to collide from the front side with back side of the third afflicted vehicle. as a result, the passenger of the former vehicle was injured and material damagers were caused to the vehicles. As shown in the diagram.	10	0.5%
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from south to the north taking the right lane. The other afflicted vehicles were travelling to the same direction while taking different lanes. When the afflicted vehicles reach the crossroads they stopped waiting in the traffic. The former violated the traffic rules and was speeding when he crashed into the side-walk and the wall then drifted and collided with the back side of the first afflicted vehicle and as response it crashed with the back side of the second afflicted then sequentially from the sides and the front colliding with the next vehicle then the one after. as a result, ten people were injured from amongst drivers and passengers. They all received medical treatment and two of them were severely injured and were to admitted to the hospital. Material damages were caused to the vehicles and the state's properties. As shown in the diagram.	10	0.5%
After examining and inspecting the accident's site, the following was revealed: the first vehicle that caused the accident was travelling from east to the west taking the second lane from the right. The second, the third and the forth were travelling to the same direction. The first vehicle suddenly stopped beside the Exhibitions Ground. Because The second vehicle was behind the first and wasn’t leave a space, it collided from the front side with the back side of the first vehicle. Then the second collided with the third. then sequentially, the third with the forth. Leading the third to drift to left and to collided from the left side with the front side of the afflicted vehicle(truck). The afflicted vehicle kept on going till it collided from the left side with the right side of the first vehicle, leading the latter to drift and roll-over in the middle of the road. The afflicted vehicle kept on going foreword and met the the forth vehicle halfway and collided from right side with left side of the forth. And they all stopped in the right side lane. as a result, the drivers of the first, second and third vehicles and the passengers were injured. As shown in the diagram.	8	0.4%
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the west to the east, driving to the middle lane and running the red light . while taking a left turn to the cross-road, the right front side of the vehicle collided with the front side of the first afflicted vehicle, which was travelling from the east to the west taking the right lane, Causing the former vehicle to to spin to the left side and collide from the front side with the second afflicted vehicle which was waiting for the green light on the right lane. resulting in the death of the passenger in the vehicle that caused the accident, severe and moderate injuries and material damages in all the vehicles. The Accident was diagrammed.	8	0.4%
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the west to the north in the crossroads taking the left lane. The afflicted vehicle was travelling from the east to the west taking the middle lane. The former ran the red light and collided from the right side with the front side of the afflicted vehicle. As shown in the diagram.	6	0.3%
the vehicle that caused the accident was travelling from the east to the west taking the second lane from the left. The afflicted vehicle was travelling from the east to the west taking the the second lane from the right. The former ran the red light and collided from the right side with the front side of the afflicted vehicle. As a result, the driver and the passengers of the former vehicle, the passengers of the afflicted vehicle were injured and material damages were caused to vehicles. As shown in the digram.	5	0.2%
After examining and inspecting the accident's site, the following was revealed:- the vehicle that caused the accident was travelling from the north to the south making a turn to the west. The driver was driving in an unstable state (diabetic). He crashed into the pavement and over the grass. Then he kept on driving till he reach the main road and crossed it, after that, crashed again from the front into the pavement of the island leading the vehicle to roll-over and land there. As shown in the diagram.	4	0.2%
After examining and inspecting the accident's site, the following was revealed: the vehicle that caused the accident was travelling from west to the east taking the the second lane from the left. The afflicted vehicle was travelling from the north to te south taking the middle lane. When the former reach the crossroads and ran the red light, he collided from from the left side with the front side of the afflicted vehicle. The former was pushed to crash into the side barriers and the latter stopped in the middle of the crossroads. As a result,material damages were caused. as shown in the diagram.	4	0.2%
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the south to the north, taking the right lane. The first afflicted vehicle was travelling from east to the west taking the the left lane. the second afflicted vehicle was travelling from the east to the west taking the right lane. and because the former vehicle was running the red light, the front side of it collided with the left front side of the first afflicted vehicle which in returns, drifted colliding with right front side of the the second afflicted vehicle (motorcycle). and they both drifted and collided with left front side of third afflicted vehicle. All the vehicles stopped in the middle of the crossroad. As a result, the driver of the vehicle that caused the accident, and the two passengers were injured. The passengers of the first afflicted vehicle and the driver of the second afflicted vehicle, also were injured. Adding to that, material damages were caused to both vehicles. everything was settled	4	0.2%
After examining and inspecting the accident's site, the following was revealed:- The vehicle that caused the accident was travelling from the south to the north taking the second lane from the left. The driver was speeding in the rain, when the vehicle skidded to the left to crash from the front into the light pole and the traffic sign. as a result, the driver and the passenger were injured and were admitted to Sheikh Khalefa’s hospital and material damages were caused to vehicles and the state’s properties material damages.	4	0.2%
Other values (2051)	2112	97.1%

Histogram of lengths of the category

Value	Count	Frequency (%)
the	47808	20.5%
and	11026	4.7%
vehicle	9135	3.9%
of	8102	3.5%
accident	6749	2.9%
to	6426	2.8%
was	6220	2.7%
from	5063	2.2%
causing	3845	1.7%
damaged	3371	1.4%
Other values (3404)	125032	53.7%

Most occurring characters

Value	Count	Frequency (%)
	233658	16.9%
e	156598	11.3%
t	119050	8.6%
i	83291	6.0%
h	80613	5.8%
a	79627	5.8%
n	73196	5.3%
d	60513	4.4%
o	58181	4.2%
c	55653	4.0%
Other values (72)	380514	27.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	1075457	77.9%
Space Separator	265564	19.2%
Other Punctuation	20947	1.5%
Uppercase Letter	8372	0.6%
Decimal Number	8046	0.6%
Dash Punctuation	1677	0.1%
Control	279	< 0.1%
Final Punctuation	212	< 0.1%
Open Punctuation	161	< 0.1%
Close Punctuation	160	< 0.1%
Other values (3)	19	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	156598	14.6%
t	119050	11.1%
i	83291	7.7%
h	80613	7.5%
a	79627	7.4%
n	73196	6.8%
d	60513	5.6%
o	58181	5.4%
c	55653	5.2%
r	54030	5.0%
Other values (16)	254705	23.7%

Value	Count	Frequency (%)
T	3061	36.6%
A	2519	30.1%
W	779	9.3%
H	621	7.4%
D	249	3.0%
S	245	2.9%
B	210	2.5%
M	94	1.1%
I	90	1.1%
K	67	0.8%
Other values (15)	437	5.2%

Value	Count	Frequency (%)
4	1585	19.7%
5	1302	16.2%
1	775	9.6%
3	733	9.1%
0	718	8.9%
2	692	8.6%
9	594	7.4%
8	581	7.2%
6	568	7.1%
7	498	6.2%

Value	Count	Frequency (%)
,	11424	54.5%
.	6746	32.2%
:	2154	10.3%
'	570	2.7%
"	31	0.1%
*	6	< 0.1%
…	6	< 0.1%
?	5	< 0.1%
/	4	< 0.1%
\	1	< 0.1%

Value	Count	Frequency (%)
	233658	88.0%
	31906	12.0%

Value	Count	Frequency (%)
’	197	92.9%
”	15	7.1%

Value	Count	Frequency (%)
-	1677	100.0%

Value	Count	Frequency (%)
(	161	100.0%

Value	Count	Frequency (%)
)	160	100.0%

Value	Count	Frequency (%)
“	15	100.0%

Value	Count	Frequency (%)
+	3	100.0%

Value	Count	Frequency (%)
`	1	100.0%

Value	Count	Frequency (%)
	279	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	1083829	78.5%
Common	297065	21.5%

Most frequent character per script

Value	Count	Frequency (%)
e	156598	14.4%
t	119050	11.0%
i	83291	7.7%
h	80613	7.4%
a	79627	7.3%
n	73196	6.8%
d	60513	5.6%
o	58181	5.4%
c	55653	5.1%
r	54030	5.0%
Other values (41)	263077	24.3%

Value	Count	Frequency (%)
	233658	78.7%
	31906	10.7%
,	11424	3.8%
.	6746	2.3%
:	2154	0.7%
-	1677	0.6%
4	1585	0.5%
5	1302	0.4%
1	775	0.3%
3	733	0.2%
Other values (21)	5105	1.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	1348755	97.7%
None	31906	2.3%
Punctuation	233	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	233658	17.3%
e	156598	11.6%
t	119050	8.8%
i	83291	6.2%
h	80613	6.0%
a	79627	5.9%
n	73196	5.4%
d	60513	4.5%
o	58181	4.3%
c	55653	4.1%
Other values (67)	348375	25.8%

Value	Count	Frequency (%)
	31906	100.0%

Value	Count	Frequency (%)
’	197	84.5%
“	15	6.4%
”	15	6.4%
…	6	2.6%

Location.1
Categorical

HIGH CARDINALITY

Distinct	1252
Distinct (%)	57.8%
Missing	10
Missing (%)	0.5%
Memory size	231.9 KiB

The intersection of Al-Ittihad newspaper	23
Ahmed bin Hamed intersection	15
Al-Saada Street, Sheikh Saif intersection, after the passports authority	14
Al Sharqi Ring Road, above Al Saada Bridge - Inward	13
Intersection of the National Bank of Abu Dhabi	12
Other values (1247)	2088

Length

Max length	126
Median length	50
Mean length	52.0665127
Min length	7

Characters and Unicode

Total characters	112724
Distinct characters	73
Distinct categories	11 ?
Distinct scripts	2 ?
Distinct blocks	2 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	871 ?
Unique (%)	40.2%

Sample

1st row	Airport Street, Tarkhees intersection
2nd row	Etihad Newspaper intersection
3rd row	Mina Region, Al Mina Street
4th row	Sheikh Rashed St.,, Pepsi intersection
5th row	Off Hazaa Bin Zayed Al-Awal Street, beside Al-Khayyam Shops

Value	Count	Frequency (%)
The intersection of Al-Ittihad newspaper	23	1.1%
Ahmed bin Hamed intersection	15	0.7%
Al-Saada Street, Sheikh Saif intersection, after the passports authority	14	0.6%
Al Sharqi Ring Road, above Al Saada Bridge - Inward	13	0.6%
Intersection of the National Bank of Abu Dhabi	12	0.6%
Pepsi cola intersection	12	0.6%
Sharqi Ring Street, after the second tunnel, outward	11	0.5%
Arabian Gulf Street	11	0.5%
Wimpey intersection	11	0.5%
Al Falah Street, before formerly General Command intersection	10	0.5%
Other values (1242)	2033	93.5%
(Missing)	10	0.5%

Histogram of lengths of the category

Value	Count	Frequency (%)
street	1733	10.1%
al	1361	7.9%
intersection	1334	7.8%
the	1052	6.1%
of	743	4.3%
with	392	2.3%
bin	371	2.2%
area	361	2.1%
zayed	300	1.7%
gulf	257	1.5%
Other values (730)	9288	54.0%

Most occurring characters

Value	Count	Frequency (%)
	15042	13.3%
e	12228	10.8%
t	9671	8.6%
a	8455	7.5%
r	7542	6.7%
i	7368	6.5%
n	6077	5.4%
o	5319	4.7%
l	3896	3.5%
h	3841	3.4%
Other values (63)	33285	29.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	83540	74.1%
Space Separator	15042	13.3%
Uppercase Letter	11584	10.3%
Other Punctuation	2013	1.8%
Dash Punctuation	261	0.2%
Decimal Number	122	0.1%
Open Punctuation	72	0.1%
Close Punctuation	72	0.1%
Final Punctuation	14	< 0.1%
Math Symbol	3	< 0.1%

Most frequent character per category

Value	Count	Frequency (%)
e	12228	14.6%
t	9671	11.6%
a	8455	10.1%
r	7542	9.0%
i	7368	8.8%
n	6077	7.3%
o	5319	6.4%
l	3896	4.7%
h	3841	4.6%
s	3325	4.0%
Other values (16)	15818	18.9%

Value	Count	Frequency (%)
S	2782	24.0%
A	2465	21.3%
M	813	7.0%
B	664	5.7%
C	606	5.2%
H	448	3.9%
I	440	3.8%
T	439	3.8%
R	383	3.3%
D	362	3.1%
Other values (14)	2182	18.8%

Value	Count	Frequency (%)
1	37	30.3%
2	32	26.2%
3	21	17.2%
7	10	8.2%
6	7	5.7%
0	6	4.9%
9	4	3.3%
5	3	2.5%
4	2	1.6%

Value	Count	Frequency (%)
,	1927	95.7%
.	23	1.1%
&	16	0.8%
?	16	0.8%
/	15	0.7%
'	12	0.6%
"	4	0.2%

Value	Count	Frequency (%)
	15042	100.0%

Value	Count	Frequency (%)
-	261	100.0%

Value	Count	Frequency (%)
(	72	100.0%

Value	Count	Frequency (%)
)	72	100.0%

Value	Count	Frequency (%)
’	14	100.0%

Value	Count	Frequency (%)
+	3	100.0%

Value	Count	Frequency (%)
`	1	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	95124	84.4%
Common	17600	15.6%

Most frequent character per script

Value	Count	Frequency (%)
e	12228	12.9%
t	9671	10.2%
a	8455	8.9%
r	7542	7.9%
i	7368	7.7%
n	6077	6.4%
o	5319	5.6%
l	3896	4.1%
h	3841	4.0%
s	3325	3.5%
Other values (40)	27402	28.8%

Value	Count	Frequency (%)
	15042	85.5%
,	1927	10.9%
-	261	1.5%
(	72	0.4%
)	72	0.4%
1	37	0.2%
2	32	0.2%
.	23	0.1%
3	21	0.1%
&	16	0.1%
Other values (13)	97	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	112710	> 99.9%
Punctuation	14	< 0.1%

Most frequent character per block

Value	Count	Frequency (%)
	15042	13.3%
e	12228	10.8%
t	9671	8.6%
a	8455	7.5%
r	7542	6.7%
i	7368	6.5%
n	6077	5.4%
o	5319	4.7%
l	3896	3.5%
h	3841	3.4%
Other values (62)	33271	29.5%

Value	Count	Frequency (%)
’	14	100.0%

Fasten seat belt
Categorical

HIGH CORRELATION

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	126.4 KiB

No	1184
Yes	984
??	7

Length

Max length	3
Median length	2
Mean length	2.452413793
Min length	2

Characters and Unicode

Total characters	5334
Distinct characters	6
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Yes
2nd row	Yes
3rd row	No
4th row	Yes
5th row	No

Value	Count	Frequency (%)
No	1184	54.4%
Yes	984	45.2%
??	7	0.3%

Histogram of lengths of the category

Value	Count	Frequency (%)
no	1184	54.4%
yes	984	45.2%
	7	0.3%

Most occurring characters

Value	Count	Frequency (%)
N	1184	22.2%
o	1184	22.2%
Y	984	18.4%
e	984	18.4%
s	984	18.4%
?	14	0.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	3152	59.1%
Uppercase Letter	2168	40.6%
Other Punctuation	14	0.3%

Most frequent character per category

Value	Count	Frequency (%)
o	1184	37.6%
e	984	31.2%
s	984	31.2%

Value	Count	Frequency (%)
N	1184	54.6%
Y	984	45.4%

Value	Count	Frequency (%)
?	14	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	5320	99.7%
Common	14	0.3%

Most frequent character per script

Value	Count	Frequency (%)
N	1184	22.3%
o	1184	22.3%
Y	984	18.5%
e	984	18.5%
s	984	18.5%

Value	Count	Frequency (%)
?	14	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	5334	100.0%

Most frequent character per block

Value	Count	Frequency (%)
N	1184	22.2%
o	1184	22.2%
Y	984	18.4%
e	984	18.4%
s	984	18.4%
?	14	0.3%

Road speed limit
Real number (ℝ_≥0)

Distinct	6
Distinct (%)	0.3%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%

Mean	63.23678161
Minimum	20
Maximum	120
Zeros	0
Zeros (%)	0.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	20
5-th percentile	40
Q1	60
median	60
Q3	60
95-th percentile	100
Maximum	120
Range	100
Interquartile range (IQR)	0

Descriptive statistics

Standard deviation	16.39570839
Coefficient of variation (CV)	0.259274871
Kurtosis	1.366660401
Mean	63.23678161
Median Absolute Deviation (MAD)	0
Skewness	0.1950674369
Sum	137540
Variance	268.8192537
Monotocity	Not monotonic

Histogram with fixed size bins (bins=6)

Value	Count	Frequency (%)
60	1393	64.0%
80	361	16.6%
40	184	8.5%
100	156	7.2%
20	76	3.5%
120	5	0.2%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
20	76	3.5%
40	184	8.5%
60	1393	64.0%
80	361	16.6%
100	156	7.2%
120	5	0.2%

Value	Count	Frequency (%)
120	5	0.2%
100	156	7.2%
80	361	16.6%
60	1393	64.0%
40	184	8.5%
20	76	3.5%

Pedestrian action
Categorical

HIGH CORRELATION

Distinct	20
Distinct (%)	0.9%
Missing	0
Missing (%)	0.0%
Memory size	138.6 KiB

None	1787
Cross, there's no crosswalk	146
Cross, but not on the crosswalk	77
Stop	47
Cross on the crosswalk of the intersection	39
Other values (15)	79

Length

Max length	47
Median length	4
Mean length	8.193103448
Min length	4

Characters and Unicode

Total characters	17820
Distinct characters	29
Distinct categories	6 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	4 ?
Unique (%)	0.2%

Sample

1st row	None
2nd row	None
3rd row	None
4th row	None
5th row	None

Value	Count	Frequency (%)
None	1787	82.2%
Cross, there's no crosswalk	146	6.7%
Cross, but not on the crosswalk	77	3.5%
Stop	47	2.2%
Cross on the crosswalk of the intersection	39	1.8%
Cross on crosswalk not in the intersection	19	0.9%
Cross without attention	15	0.7%
Other (specify)	9	0.4%
Cross but not on the crosswalk	8	0.4%
Cross on crosswalk of the intersection	6	0.3%
Other values (10)	22	1.0%

Histogram of lengths of the category

Value	Count	Frequency (%)
none	1787	50.1%
cross	318	8.9%
crosswalk	310	8.7%
the	218	6.1%
on	170	4.8%
there's	146	4.1%
no	146	4.1%
not	111	3.1%
but	88	2.5%
intersection	76	2.1%
Other values (14)	196	5.5%

Most occurring characters

Value	Count	Frequency (%)
o	3065	17.2%
e	2489	14.0%
n	2419	13.6%
N	1787	10.0%
s	1511	8.5%
	1400	7.9%
r	872	4.9%
t	856	4.8%
c	399	2.2%
h	390	2.2%
Other values (19)	2632	14.8%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13842	77.7%
Uppercase Letter	2177	12.2%
Space Separator	1400	7.9%
Other Punctuation	379	2.1%
Open Punctuation	11	0.1%
Close Punctuation	11	0.1%

Most frequent character per category

Value	Count	Frequency (%)
o	3065	22.1%
e	2489	18.0%
n	2419	17.5%
s	1511	10.9%
r	872	6.3%
t	856	6.2%
c	399	2.9%
h	390	2.8%
a	333	2.4%
w	327	2.4%
Other values (10)	1181	8.5%

Value	Count	Frequency (%)
N	1787	82.1%
C	326	15.0%
S	53	2.4%
O	11	0.5%

Value	Count	Frequency (%)
,	233	61.5%
'	146	38.5%

Value	Count	Frequency (%)
	1400	100.0%

Value	Count	Frequency (%)
(	11	100.0%

Value	Count	Frequency (%)
)	11	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16019	89.9%
Common	1801	10.1%

Most frequent character per script

Value	Count	Frequency (%)
o	3065	19.1%
e	2489	15.5%
n	2419	15.1%
N	1787	11.2%
s	1511	9.4%
r	872	5.4%
t	856	5.3%
c	399	2.5%
h	390	2.4%
a	333	2.1%
Other values (14)	1898	11.8%

Value	Count	Frequency (%)
	1400	77.7%
,	233	12.9%
'	146	8.1%
(	11	0.6%
)	11	0.6%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17820	100.0%

Most frequent character per block

Value	Count	Frequency (%)
o	3065	17.2%
e	2489	14.0%
n	2419	13.6%
N	1787	10.0%
s	1511	8.5%
	1400	7.9%
r	872	4.9%
t	856	4.8%
c	399	2.2%
h	390	2.2%
Other values (19)	2632	14.8%

Number of Lanes
Real number (ℝ_≥0)

MISSING

Distinct	7
Distinct (%)	0.3%
Missing	78
Missing (%)	3.6%
Infinite	0
Infinite (%)	0.0%

Mean	3.367668097
Minimum	1
Maximum	7
Zeros	0
Zeros (%)	0.0%
Memory size	17.1 KiB

Quantile statistics

Minimum	1
5-th percentile	1
Q1	3
median	4
Q3	4
95-th percentile	5
Maximum	7
Range	6
Interquartile range (IQR)	1

Descriptive statistics

Standard deviation	1.017857702
Coefficient of variation (CV)	0.3022440671
Kurtosis	0.4784789663
Mean	3.367668097
Median Absolute Deviation (MAD)	1
Skewness	-0.5707948519
Sum	7062
Variance	1.036034302
Monotocity	Not monotonic

Histogram with fixed size bins (bins=7)

Value	Count	Frequency (%)
4	941	43.3%
3	668	30.7%
2	189	8.7%
1	151	6.9%
5	125	5.7%
6	21	1.0%
7	2	0.1%
(Missing)	78	3.6%

Minimum 5 values
Maximum 5 values

Value	Count	Frequency (%)
1	151	6.9%
2	189	8.7%
3	668	30.7%
4	941	43.3%
5	125	5.7%
6	21	1.0%
7	2	0.1%

Value	Count	Frequency (%)
7	2	0.1%
6	21	1.0%
5	125	5.7%
4	941	43.3%
3	668	30.7%
2	189	8.7%
1	151	6.9%

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Emirate	Police Station	Year	Month	Date	City	Road	Report Number	Day	Week	Report type	Reasons	Computed	Streets	Street	Place	Location	lighting	Weather	Road surface	Intersection	Accident Type	Nationalities	Seat Belt	Injured person position	Injured person's seat	Degree of the injury	Age of the injured	Gender	Gender of the injured	Inp Age	Age Group	Date - Month	Nationality of the Injured person	Day.1	Iac Rep Time	Time	Age Group - Ministry	Computed2	Area	Block	Str Code	Accident Description	Location.1	Fasten seat belt	Road speed limit	Pedestrian action	Number of Lanes
0	Abu Dhabi	Shaabiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Rashid Bin Saeed Al Maktoum intersection - Street IP28A 27	Rashid Bin Saeed Al Maktoum intersection - Street IP28A 27	Govt. authority	Intersection	night - enough lights	clear	Dry	Perpendicular Intersection	Perpendicular collision	Syria	Y	Passenger	Front passenger seat	Minor	47	F	Female	47	46 to 60 years	Jan	Arab States	Saturday	0:00	PM	46 to 60 years	1	Mushrif	Block 23-2	187	3803. After detection and inspecting the accident site, the following accident chart became clear: While the causing vehicle was coming from the west towards the east and it would like to turn left, the lane is on the far left, the damaged vehicle is coming from the east towards the west and the lane is on the far right. In the case of moving forward, and because of bypassing the red light and driving drunk the causing vehicle was collided from the front right corner. The damaged vehicle is on the right side of the causing vehicle. The accident resulted in a female passenger being injured in the damaged vehicle, as well as material damage to both vehicles. The detection and necessary measures were taken.	Airport Street, Tarkhees intersection	Yes	60	None	4.0
1	Abu Dhabi	Shaabiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A	Al Sharqi intersection (Muroor) - Mohamed bin Khalifa IP49A	Commercial area	Intersection	night - enough lights	clear	Dry	Perpendicular Intersection	Side collision	India	Y	Passenger	Front passenger seat	Minor	56	M	Male	56	46 to 60 years	Jan	Asian States	Saturday	0:35	PM	46 to 60 years	1	Al Wahda	Block 17-1	174	3804. After detection and inspection by the accident chart, the following is revealed: -The causing vehicle was coming from the west towards the east with the left lane line, the damaged vehicle was coming from the south towards the north with the right lane line, while the two vehicles were passing and because of bypassing the red traffic light by the offending driver hit the front of the damaged vehicle on the right side of the damaged vehicle, and accordingly the accident was charted.	Etihad Newspaper intersection	Yes	60	None	3.0
2	Abu Dhabi	Al Madina Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Street 10	Street 10	Commercial area	Highway	night - enough lights	clear	Dry	Not on Intersection	Hitting a stationary object off the road	UAE	N	Passenger	Front passenger seat	Severe	32	M	Male	32	31 to 45 years	Jan	UAE	Saturday	4:20	PM	31 to 45 years	1	Mina	Block 73-1	43	3805. After detection and inspecting the accident site, the following accident chart became clear: The causing vehicle was coming from the south to the north, and due to the driving in an abnormal state (drunkenness) by the offending driver, the vehicle deviated from the road and hit the front of the causing vehicle with a billboard column. The accident was charted and necessary action was taken.	Mina Region, Al Mina Street	No	60	None	5.0
3	Abu Dhabi	Khaldiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	Bypassing the red traffic light	1	Rashed bin Saeed Al-Maktoum intersection - Street 29 IP76	Rashed bin Saeed Al-Maktoum intersection - Street 29 IP76	Commercial area	Intersection	day	clear	Dry	Perpendicular Intersection	Side collision	Yemen	Y	Passenger	Front passenger seat	Minor	41	F	Female	41	31 to 45 years	Jan	GCC	Saturday	16:19	PM	31 to 45 years	1	Mushrif	Block 24-2	188	3806. After detection and inspecting the accident site, it became clear that the following accident chart: - The causing vehicle is coming from the south to the north, heading to the west, the path is passed by the arrow, and the damaged vehicle is coming from the north to the south, on the right path. To bypass the red light by the causing vehicle, the front of the damaged vehicle collided with the right side of the causing vehicle. The accident was charted and the crisis was conducted.	Sheikh Rashed St.,, Pepsi intersection	Yes	60	None	3.0
4	Abu Dhabi	Khaldiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	Negligence and inobservance	1	Khalifa Bin Shakhbout Street (28)	Khalifa Bin Shakhbout Street (28)	Other	Single road	night - enough lights	clear	Dry	Not on Intersection	Hitting a stationary object on the road	UAE	N	Passenger	Back passenger seat	Moderate	39	F	Female	39	31 to 45 years	Jan	UAE	Saturday	22:27	PM	31 to 45 years	1	Mushrif	Block 38-2	18	3807. After detection and inspecting the accident site, the following accident chart became clear: During the rotation of the causing vehicle from the filter triangle, the driver of the causing vehicle could not control the causing vehicle, which led to hitting the front of the causing vehicle on the sidewalk leading to its rollover on its left side. The accident was charted and necessary action was taken.	NaN	No	40	None	1.0
5	Abu Dhabi	Khaldiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	Negligence and inobservance	1	Khalifa Bin Shakhbout Street (28)	Khalifa Bin Shakhbout Street (28)	Other	Single road	night - enough lights	clear	Dry	Not on Intersection	Hitting a stationary object on the road	UAE	N	Passenger	Back passenger seat	Minor	17	F	Female	17	8 to 17 years	Jan	UAE	Saturday	22:27	PM	Below 18 years	1	Mushrif	Block 38-2	18	3808. After detection and inspecting the accident site, the following accident chart became clear: - During the rotation of the causing vehicle from the filter triangle, the driver of the causing vehicle could not control the causing vehicle, which led to hitting the front of the causing vehicle on the sidewalk leading to its rollover on its left side. The accident was charted and necessary action was taken.	NaN	No	40	None	1.0
6	Abu Dhabi	Khaldiya Police Station	2011	January	01-01-11	Abu Dhabi	Internal road	1.000000e+11	1	First week	Traffic accident with injuries	Negligence and inobservance	1	Khalifa Bin Shakhbout Street (28)	Khalifa Bin Shakhbout Street (28)	Other	Single road	night - enough lights	clear	Dry	Not on Intersection	Hitting a stationary object on the road	UAE	N	Driver	Driver's seat	Minor	15	M	Male	15	8 to 17 years	Jan	UAE	Saturday	22:27	PM	Below 18 years	1	Mushrif	Block 38-2	18	3809. After detection and inspecting the accident site, the following accident chart became clear: During the rotation of the causing vehicle from the filter triangle, the driver of the causing vehicle could not control the causing vehicle, which led to hitting the front of the causing vehicle on the sidewalk leading to its rollover on its left side. The accident was charted and necessary action was taken.	NaN	No	40	None	1.0
7	Abu Dhabi	Shaabiya Police Station	2011	January	02-01-11	Abu Dhabi	Internal road	1.000000e+11	2	First week	Traffic accident with injuries	Speedy without taking road conditions into account	1	Hazaa Bin Zayed Al Awal Street (11)	Hazaa Bin Zayed Al Awal Street (11)	Commercial area	Highway	day	clear	Dry	Not on or around 20 meters	Person run over	India	N	Pedestrian	No passenger	Moderate	31	M	Male	31	31 to 45 years	Jan	Asian States	Sunday	12:08	PM	31 to 45 years	1	Dhafra (Abu Dhabi)	Block 55-1	23	3810. After detection and inspecting the accident site, the following accident chart became clear: - The first causing vehicle is coming from the south towards the north, and run-over person (second offender) is coming from the north towards the south, and because of the lack of estimation of the road users by the first offender and passing the run-over person (second offender) the road away from the pedestrian, the right-side mirror collided with the run-over person, and the accident was charted and the crisis was conducted.	Off Hazaa Bin Zayed Al-Awal Street, beside Al-Khayyam Shops	No	40	Cross but not on the crosswalk	2.0
8	Abu Dhabi	Shaabiya Police Station	2011	January	02-01-11	Abu Dhabi	Internal road	1.000000e+11	2	First week	Traffic accident with injuries	Not leaving enough space	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Rear collision	Pakistan	N	Driver	Driver's seat	Moderate	26	M	Male	26	18 to 30 years	Jan	Asian States	Sunday	15:40	PM	18 to 30 years	1	Hadbat Al Zafaran	Block 45-1	13	3811. After detection and inspecting the accident chart, the policeman of the accident chart revealed the following: - While the causing vehicle was coming from the east to the west, taking the middle path, and the damaged vehicle in front of it on the same lane, and because of not leaving enough space with the offending driver, the front of the causing vehicle collided with the rear end of the damaged vehicle and the accident resulted in the injured driver being moderately injured. He received the necessary treatment and left the hospital, as a result of damage. It leaded to financial losses also, then the site of the accident was examined and necessary action was taken.	Zaafarana area, Al-Moroor Street before civil defence intersection - Outward	No	60	None	4.0
9	Abu Dhabi	Shaabiya Police Station	2011	January	03-01-11	Abu Dhabi	Internal road	1.000000e+11	3	First week	Traffic accident with injuries	Speedy without taking road conditions into account	1	Al Saada Intersection - Salam IP69	Al Saada Intersection - Salam IP69	Bridge / Tunnel	Bridge	day	clear	Dry	Not on or around 20 meters	Multiple collision	Pakistan	N	Passenger	Back passenger seat	Minor	26	M	Male	26	18 to 30 years	Jan	Asian States	Monday	5:30	PM	18 to 30 years	1	Qasr Al Bahar	Block 36-1	129	3812. After detection and inspecting the accident site, the following accident chart clear: - While all the vehicles that are involved in the accident were coming from the east to the west moving in the far-right lane and upon their arrival over the Al-Saada Bridge, the fourth damaged vehicle was surprised by stalled vehicle on the road and he lowered its speed, and the first, second and third damaged vehicles stopped in the far-right lane and due to the speed without taking into account circumstances and not slowing down upon arrival near the bridge, then the front of his vehicle collided from the left side with the rear of the first damaged vehicle, and as a result of the collision, it rushed and collided with the rear of the second damaged vehicle, and the second damaged vehicle rushed and collided with the third damaged vehicle and the third damaged vehicle ran into the fourth damaged vehicle, according to the chart, the accident occurred.	Al Sharqi Ring Road, above Al Saada Bridge - Inward	No	100	None	5.0

Last rows

	Emirate	Police Station	Year	Month	Date	City	Road	Report Number	Day	Week	Report type	Reasons	Computed	Streets	Street	Place	Location	lighting	Weather	Road surface	Intersection	Accident Type	Nationalities	Seat Belt	Injured person position	Injured person's seat	Degree of the injury	Age of the injured	Gender	Gender of the injured	Inp Age	Age Group	Date - Month	Nationality of the Injured person	Day.1	Iac Rep Time	Time	Age Group - Ministry	Computed2	Area	Block	Str Code	Accident Description	Location.1	Fasten seat belt	Road speed limit	Pedestrian action	Number of Lanes
2165	Abu Dhabi	Khaldiya Police Station	2013	June	29-06-13	Abu Dhabi	Internal road	1.000000e+11	29	Fifth week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Street Arabian Gulf(30)	Street Arabian Gulf(30)	Bridge / Tunnel	Bridge / Tunnel	night - enough lights	clear	Dry	Not on Intersection	Rear collision	UAE	N	Passenger	Back passenger seat	Moderate	1	F	Female	1	1 to 7 years	Jun	UAE	Saturday	22:03	PM	Below 18 years	1	Musaffah Bridge	Not Identified	16	5666. After examining and inspecting the accident's site, the following was revealed:	Arabian Gulf Street, outward, on Mussafah Bridge	No	100	None	4.0
2166	Abu Dhabi	Khaldiya Police Station	2013	June	29-06-13	Abu Dhabi	Internal road	1.000000e+11	29	Fifth week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Street Arabian Gulf(30)	Street Arabian Gulf(30)	Bridge / Tunnel	Bridge / Tunnel	night - enough lights	clear	Dry	Not on Intersection	Rear collision	UAE	N	Passenger	Back passenger seat	Severe	2	M	Male	2	1 to 7 years	Jun	UAE	Saturday	22:03	PM	Below 18 years	1	Musaffah Bridge	Not Identified	16	While the two vehicles were traveling from the west towards the east in the left lane, and while the vehicle was causing the rear and the damaged one was in the front, and while they were driving, because of the driver of the causing vehicle under the influence of alcoholic drinks and speed without taking into account the road conditions, the accident	Arabian Gulf Street, outward, on Mussafah Bridge	No	100	None	4.0
2167	Abu Dhabi	Khaldiya Police Station	2013	June	29-06-13	Abu Dhabi	Internal road	1.000000e+11	29	Fifth week	Traffic accident with injuries	under influence of intoxicant or narcotic drug	1	Street Arabian Gulf(30)	Street Arabian Gulf(30)	Bridge / Tunnel	Bridge / Tunnel	night - enough lights	clear	Dry	Not on Intersection	Rear collision	UAE	N	Passenger	Back passenger seat	Severe	27	F	Female	27	18 to 30 years	Jun	UAE	Saturday	22:03	PM	18 to 30 years	1	Musaffah Bridge	Not Identified	16	Where the front of the causing vehicle collided at the back of the damaged vehicle on the right side, and from the force of the collision, the driver of the damaged vehicle lost control of his vehicle, so it swerved to the far left and went up to the agricultural island separating the two directions, then got off it and turned around itself	Arabian Gulf Street, outward, on Mussafah Bridge	No	100	None	4.0
2168	Abu Dhabi	Khaldiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Not leaving enough space	1	IP127 IntersectionDelma - Street 32	IP127 IntersectionDelma - Street 32	Residential area	Double road	night - enough lights	clear	Dry	Perpendicular Intersection	Rear collision	UAE	Y	Driver	Driver's seat	Minor	20	M	Male	20	18 to 30 years	Jun	UAE	Sunday	8:35	AM	18 to 30 years	1	Al Butain	Block 96-2	173	And stabilized in the second lane, against the direction of traffic, how many permanent turns around itself	Sheikh Sultan Bin Zayed Street with Delma Street, Al Bateen Area	Yes	60	None	4.0
2169	Abu Dhabi	Khaldiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Not leaving enough space	1	IP127 IntersectionDelma - Street 32	IP127 IntersectionDelma - Street 32	Residential area	Double road	night - enough lights	clear	Dry	Perpendicular Intersection	Rear collision	UAE	Y	Passenger	Front passenger seat	Moderate	19	M	Male	19	18 to 30 years	Jun	UAE	Sunday	8:35	AM	18 to 30 years	1	Al Butain	Block 96-2	173	And it stabilized against the direction of traffic on the far right. The accident resulted in bodily injuries, damage to state property and material damage to the two vehicles, and According to diagramed, the accident was occurred	Sheikh Sultan Bin Zayed Street with Delma Street, Al Bateen Area	Yes	60	None	4.0
2170	Abu Dhabi	Shaabiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Bypassing the red traffic light	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Perpendicular collision	UAE	N	Passenger	Back passenger seat	Moderate	24	F	Female	24	18 to 30 years	Jun	UAE	Sunday	12:15	PM	18 to 30 years	1	Hadbat Al Zafaran	Block 20-1	13	5667. After examining and inspecting the accident's site, the following was revealed:	Police College intersection	No	80	None	4.0
2171	Abu Dhabi	Shaabiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Bypassing the red traffic light	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Perpendicular collision	UAE	N	Passenger	Front passenger seat	Moderate	49	F	Female	49	46 to 60 years	Jun	UAE	Sunday	12:15	PM	46 to 60 years	1	Hadbat Al Zafaran	Block 20-1	13	While the two vehicles were traveling from the west towards the east in the left lane, and while the vehicle was causing the rear and the damaged one was in the front, and while they were driving, because of the driver of the causing vehicle under the influence of alcoholic drinks and speed without taking into account the road conditions, the accident	Police College intersection	No	80	None	4.0
2172	Abu Dhabi	Shaabiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Bypassing the red traffic light	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Perpendicular collision	UAE	Y	Driver	Driver's seat	Minor	22	F	Female	22	18 to 30 years	Jun	UAE	Sunday	12:15	PM	18 to 30 years	1	Hadbat Al Zafaran	Block 20-1	13	Where the front of the causing vehicle collided at the back of the damaged vehicle on the right side, and from the force of the collision, the driver of the damaged vehicle lost control of his vehicle, so it swerved to the far left and went up to the agricultural island separating the two directions, then got off it and turned around itself	Police College intersection	Yes	80	None	4.0
2173	Abu Dhabi	Shaabiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	Fifth week	Traffic accident with injuries	Bypassing the red traffic light	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Perpendicular collision	UAE	N	Passenger	Back passenger seat	Minor	1	M	Male	1	1 to 7 years	Jun	UAE	Sunday	12:15	PM	Below 18 years	1	Hadbat Al Zafaran	Block 20-1	13	And stabilized in the second lane, against the direction of traffic, how many permanent turns around itself	Police College intersection	No	80	None	4.0
2174	Abu Dhabi	Shaabiya Police Station	2013	June	30-06-13	Abu Dhabi	Internal road	1.000000e+11	30	NaN	Traffic accident with injuries	Bypassing the red traffic light	1	Al Sharqi Street (Muroor) (4)	Al Sharqi Street (Muroor) (4)	Govt. authority	Intersection	day	clear	Dry	Perpendicular Intersection	Perpendicular collision	UAE	Y	Passenger	Back passenger seat	Moderate	21	F	Female	21	18 to 30 years	Jun	UAE	Sunday	12:15	PM	18 to 30 years	1	Hadbat Al Zafaran	Block 20-1	13	And it stabilized against the direction of traffic on the far right. The accident resulted in bodily injuries, damage to state property and material damage to the two vehicles, and According to diagramed, the accident was occurred	Police College intersection	Yes	80	None	4.0

Most frequent

	Emirate	Police Station	Year	Month	Date	City	Road	Report Number	Day	Week	Report type	Reasons	Computed	Streets	Street	Place	Location	lighting	Weather	Road surface	Intersection	Accident Type	Nationalities	Seat Belt	Injured person position	Injured person's seat	Degree of the injury	Age of the injured	Gender	Gender of the injured	Inp Age	Age Group	Date - Month	Nationality of the Injured person	Day.1	Iac Rep Time	Time	Age Group - Ministry	Computed2	Area	Block	Str Code	Accident Description	Location.1	Fasten seat belt	Road speed limit	Pedestrian action	Number of Lanes	count
0	Abu Dhabi	Shaabiya Police Station	2013	February	16-02-13	Abu Dhabi	Internal road	1.000000e+11	16	Third week	Traffic accident with injuries	Not leaving enough space	1	Street Salam (8)	Street Salam (8)	Govt. authority	Highway	day	clear	Dry	Not on Intersection	Rear collision	Bangladesh	N	Passenger	Back passenger seat	Minor	31	M	Male	31	31 to 45 years	Feb	Asian States	Saturday	17:30	PM	31 to 45 years	1	Hadbat Al Zafaran	Block 40-1	12	After examining and inspecting the accident's site, the following was revealed:- \nthe vehicles were travelling from the west to the east taking the second lane from the right. The vehicle that caused the accident didn’t keep a distance from the front vehicle and collided from the front side with the back side of the first afflicted vehicle. Leading the latter to collide from the front side with back side of the second afflicted vehicle and then leading the second to collide from the front side with back side of the third afflicted vehicle. as a result, the passenger of the former vehicle was injured and material damagers were caused to the vehicles. As shown in the diagram.	Sharqi Ring Street, after the second tunnel, outward	No	100	None	4.0	3

Overview

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